Datasets:
truongpdd
/
BIRD_for_augment_sql2question

Dataset card Viewer Files Community
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `app_all` ( `app_id` INTEGER NOT NULL, PRIMARY KEY (`app_id`) ) /* 1 example row: SELECT * FROM app_all LIMIT 1; app_id -9223281467940916832 */ /* column definitions { "app_id": "" }*/ CREATE TABLE `app_events` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER NOT NULL, `is_active` INTEGER NOT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "the id of events", "app_id": "the id of app users", "is_installed": "whether this app is installed or not", "is_active": "whether this user is active or not" }*/ CREATE TABLE `app_events_relevant` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER DEFAULT NULL, `is_active` INTEGER DEFAULT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events_relevant` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events_relevant LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "", "app_id": "", "is_installed": "", "is_active": "" }*/ CREATE TABLE `app_labels` ( `app_id` INTEGER NOT NULL, `label_id` INTEGER NOT NULL, FOREIGN KEY (`label_id`) REFERENCES `label_categories` (`label_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_labels LIMIT 1; app_id ||label_id 7324884708820027918 || 251 */ /* column definitions { "app_id": "id of the app user", "label_id": "id of labels represents which behavior category that each user belongs to " }*/ CREATE TABLE `events` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME DEFAULT NULL, `longitude` REAL DEFAULT NULL, `latitude` REAL DEFAULT NULL, PRIMARY KEY (`event_id`) ) /* 1 example row: SELECT * FROM events LIMIT 1; event_id || device_id || timestamp ||longitude ||latitude 1 ||29182687948017175 ||2016-05-01 00:55:25.0 || 121.0 || 31.0 */ /* column definitions { "event_id": "unique id number referring to the event", "device_id": "id number referring the device", "timestamp": "the time of the event", "longitude": "longitude ", "latitude": "latitude" }*/ CREATE TABLE `events_relevant` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME NOT NULL, `longitude` REAL NOT NULL, `latitude` REAL NOT NULL, PRIMARY KEY (`event_id`), FOREIGN KEY (`device_id`) REFERENCES `gender_age` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM events_relevant LIMIT 1; event_id ||device_id || timestamp ||longitude ||latitude 2 || None ||-8942695423876075857 || 1.0 || 0.0 */ /* column definitions { "event_id": "", "device_id": "", "timestamp": "", "longitude": "", "latitude": "" }*/ CREATE TABLE `gender_age` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`), FOREIGN KEY (`device_id`) REFERENCES `phone_brand_device_model2` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM gender_age LIMIT 1; device_id ||gender ||age || group -9221086586254644858 || M || 29 ||M29-31 */ /* column definitions { "device_id": "unique number of devices", "gender": "gender of the user who uses this device", "age": "age of the user who uses this device", "group": "group of the ages" }*/ CREATE TABLE `gender_age_test` ( `device_id` INTEGER NOT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_test LIMIT 1; device_id -9223321966609553846 */ /* column definitions { "device_id": "" }*/ CREATE TABLE `gender_age_train` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_train LIMIT 1; device_id ||gender ||age || group -9223067244542181226 || M || 24 ||M23-26 */ /* column definitions { "device_id": "", "gender": "", "age": "", "group": "" }*/ CREATE TABLE `label_categories` ( `label_id` INTEGER NOT NULL, `category` TEXT DEFAULT NULL, PRIMARY KEY (`label_id`) ) /* 1 example row: SELECT * FROM label_categories LIMIT 1; label_id ||category 1 || None */ /* column definitions { "label_id": "unique id of label", "category": "category of the label" }*/ CREATE TABLE `phone_brand_device_model2` ( `device_id` INTEGER NOT NULL, `phone_brand` TEXT NOT NULL, `device_model` TEXT NOT NULL, PRIMARY KEY (`device_id`,`phone_brand`,`device_model`) ) /* 1 example row: SELECT * FROM phone_brand_device_model2 LIMIT 1; device_id ||phone_brand ||device_model -9223321966609553846 || 小米 || 红米note */ /* column definitions { "device_id": "the id number of the device", "phone_brand": "phone brand", "device_model": "device model" }*/ CREATE TABLE `sample_submission` ( `device_id` INTEGER NOT NULL, `F23-` REAL DEFAULT NULL, `F24-26` REAL DEFAULT NULL, `F27-28` REAL DEFAULT NULL, `F29-32` REAL DEFAULT NULL, `F33-42` REAL DEFAULT NULL, `F43+` REAL DEFAULT NULL, `M22-` REAL DEFAULT NULL, `M23-26` REAL DEFAULT NULL, `M27-28` REAL DEFAULT NULL, `M29-31` REAL DEFAULT NULL, `M32-38` REAL DEFAULT NULL, `M39+` REAL DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM sample_submission LIMIT 1; device_id || F23- ||F24-26 ||F27-28 ||F29-32 ||F33-42 || F43+ || M22- ||M23-26 ||M27-28 ||M29-31 ||M32-38 || M39+ -9223321966609553846 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 */ /* column definitions { "device_id": "", "F23-": "", "F24-26": "", "F27-28": "", "F29-32": "", "F33-42": "", "F43+": "", "M22-": "", "M23-26": "", "M27-28": "", "M29-31": "", "M32-38": "", "M39+": "" }*/ ### Question How many apps are labeled 7? Clarification: labeled 7 refers to label_id = 7;
[query_database(**{'query': 'SELECT COUNT(app_id) FROM app_labels WHERE label_id = 7'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `app_all` ( `app_id` INTEGER NOT NULL, PRIMARY KEY (`app_id`) ) /* 1 example row: SELECT * FROM app_all LIMIT 1; app_id -9223281467940916832 */ /* column definitions { "app_id": "" }*/ CREATE TABLE `app_events` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER NOT NULL, `is_active` INTEGER NOT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "the id of events", "app_id": "the id of app users", "is_installed": "whether this app is installed or not", "is_active": "whether this user is active or not" }*/ CREATE TABLE `app_events_relevant` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER DEFAULT NULL, `is_active` INTEGER DEFAULT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events_relevant` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events_relevant LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "", "app_id": "", "is_installed": "", "is_active": "" }*/ CREATE TABLE `app_labels` ( `app_id` INTEGER NOT NULL, `label_id` INTEGER NOT NULL, FOREIGN KEY (`label_id`) REFERENCES `label_categories` (`label_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_labels LIMIT 1; app_id ||label_id 7324884708820027918 || 251 */ /* column definitions { "app_id": "id of the app user", "label_id": "id of labels represents which behavior category that each user belongs to " }*/ CREATE TABLE `events` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME DEFAULT NULL, `longitude` REAL DEFAULT NULL, `latitude` REAL DEFAULT NULL, PRIMARY KEY (`event_id`) ) /* 1 example row: SELECT * FROM events LIMIT 1; event_id || device_id || timestamp ||longitude ||latitude 1 ||29182687948017175 ||2016-05-01 00:55:25.0 || 121.0 || 31.0 */ /* column definitions { "event_id": "unique id number referring to the event", "device_id": "id number referring the device", "timestamp": "the time of the event", "longitude": "longitude ", "latitude": "latitude" }*/ CREATE TABLE `events_relevant` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME NOT NULL, `longitude` REAL NOT NULL, `latitude` REAL NOT NULL, PRIMARY KEY (`event_id`), FOREIGN KEY (`device_id`) REFERENCES `gender_age` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM events_relevant LIMIT 1; event_id ||device_id || timestamp ||longitude ||latitude 2 || None ||-8942695423876075857 || 1.0 || 0.0 */ /* column definitions { "event_id": "", "device_id": "", "timestamp": "", "longitude": "", "latitude": "" }*/ CREATE TABLE `gender_age` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`), FOREIGN KEY (`device_id`) REFERENCES `phone_brand_device_model2` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM gender_age LIMIT 1; device_id ||gender ||age || group -9221086586254644858 || M || 29 ||M29-31 */ /* column definitions { "device_id": "unique number of devices", "gender": "gender of the user who uses this device", "age": "age of the user who uses this device", "group": "group of the ages" }*/ CREATE TABLE `gender_age_test` ( `device_id` INTEGER NOT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_test LIMIT 1; device_id -9223321966609553846 */ /* column definitions { "device_id": "" }*/ CREATE TABLE `gender_age_train` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_train LIMIT 1; device_id ||gender ||age || group -9223067244542181226 || M || 24 ||M23-26 */ /* column definitions { "device_id": "", "gender": "", "age": "", "group": "" }*/ CREATE TABLE `label_categories` ( `label_id` INTEGER NOT NULL, `category` TEXT DEFAULT NULL, PRIMARY KEY (`label_id`) ) /* 1 example row: SELECT * FROM label_categories LIMIT 1; label_id ||category 1 || None */ /* column definitions { "label_id": "unique id of label", "category": "category of the label" }*/ CREATE TABLE `phone_brand_device_model2` ( `device_id` INTEGER NOT NULL, `phone_brand` TEXT NOT NULL, `device_model` TEXT NOT NULL, PRIMARY KEY (`device_id`,`phone_brand`,`device_model`) ) /* 1 example row: SELECT * FROM phone_brand_device_model2 LIMIT 1; device_id ||phone_brand ||device_model -9223321966609553846 || 小米 || 红米note */ /* column definitions { "device_id": "the id number of the device", "phone_brand": "phone brand", "device_model": "device model" }*/ CREATE TABLE `sample_submission` ( `device_id` INTEGER NOT NULL, `F23-` REAL DEFAULT NULL, `F24-26` REAL DEFAULT NULL, `F27-28` REAL DEFAULT NULL, `F29-32` REAL DEFAULT NULL, `F33-42` REAL DEFAULT NULL, `F43+` REAL DEFAULT NULL, `M22-` REAL DEFAULT NULL, `M23-26` REAL DEFAULT NULL, `M27-28` REAL DEFAULT NULL, `M29-31` REAL DEFAULT NULL, `M32-38` REAL DEFAULT NULL, `M39+` REAL DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM sample_submission LIMIT 1; device_id || F23- ||F24-26 ||F27-28 ||F29-32 ||F33-42 || F43+ || M22- ||M23-26 ||M27-28 ||M29-31 ||M32-38 || M39+ -9223321966609553846 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 */ /* column definitions { "device_id": "", "F23-": "", "F24-26": "", "F27-28": "", "F29-32": "", "F33-42": "", "F43+": "", "M22-": "", "M23-26": "", "M27-28": "", "M29-31": "", "M32-38": "", "M39+": "" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `app_all` ( `app_id` INTEGER NOT NULL, PRIMARY KEY (`app_id`) ) /* 1 example row: SELECT * FROM app_all LIMIT 1; app_id -9223281467940916832 */ /* column definitions { "app_id": "" }*/ CREATE TABLE `app_events` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER NOT NULL, `is_active` INTEGER NOT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "the id of events", "app_id": "the id of app users", "is_installed": "whether this app is installed or not", "is_active": "whether this user is active or not" }*/ CREATE TABLE `app_events_relevant` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER DEFAULT NULL, `is_active` INTEGER DEFAULT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events_relevant` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events_relevant LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "", "app_id": "", "is_installed": "", "is_active": "" }*/ CREATE TABLE `app_labels` ( `app_id` INTEGER NOT NULL, `label_id` INTEGER NOT NULL, FOREIGN KEY (`label_id`) REFERENCES `label_categories` (`label_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_labels LIMIT 1; app_id ||label_id 7324884708820027918 || 251 */ /* column definitions { "app_id": "id of the app user", "label_id": "id of labels represents which behavior category that each user belongs to " }*/ CREATE TABLE `events` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME DEFAULT NULL, `longitude` REAL DEFAULT NULL, `latitude` REAL DEFAULT NULL, PRIMARY KEY (`event_id`) ) /* 1 example row: SELECT * FROM events LIMIT 1; event_id || device_id || timestamp ||longitude ||latitude 1 ||29182687948017175 ||2016-05-01 00:55:25.0 || 121.0 || 31.0 */ /* column definitions { "event_id": "unique id number referring to the event", "device_id": "id number referring the device", "timestamp": "the time of the event", "longitude": "longitude ", "latitude": "latitude" }*/ CREATE TABLE `events_relevant` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME NOT NULL, `longitude` REAL NOT NULL, `latitude` REAL NOT NULL, PRIMARY KEY (`event_id`), FOREIGN KEY (`device_id`) REFERENCES `gender_age` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM events_relevant LIMIT 1; event_id ||device_id || timestamp ||longitude ||latitude 2 || None ||-8942695423876075857 || 1.0 || 0.0 */ /* column definitions { "event_id": "", "device_id": "", "timestamp": "", "longitude": "", "latitude": "" }*/ CREATE TABLE `gender_age` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`), FOREIGN KEY (`device_id`) REFERENCES `phone_brand_device_model2` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM gender_age LIMIT 1; device_id ||gender ||age || group -9221086586254644858 || M || 29 ||M29-31 */ /* column definitions { "device_id": "unique number of devices", "gender": "gender of the user who uses this device", "age": "age of the user who uses this device", "group": "group of the ages" }*/ CREATE TABLE `gender_age_test` ( `device_id` INTEGER NOT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_test LIMIT 1; device_id -9223321966609553846 */ /* column definitions { "device_id": "" }*/ CREATE TABLE `gender_age_train` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_train LIMIT 1; device_id ||gender ||age || group -9223067244542181226 || M || 24 ||M23-26 */ /* column definitions { "device_id": "", "gender": "", "age": "", "group": "" }*/ CREATE TABLE `label_categories` ( `label_id` INTEGER NOT NULL, `category` TEXT DEFAULT NULL, PRIMARY KEY (`label_id`) ) /* 1 example row: SELECT * FROM label_categories LIMIT 1; label_id ||category 1 || None */ /* column definitions { "label_id": "unique id of label", "category": "category of the label" }*/ CREATE TABLE `phone_brand_device_model2` ( `device_id` INTEGER NOT NULL, `phone_brand` TEXT NOT NULL, `device_model` TEXT NOT NULL, PRIMARY KEY (`device_id`,`phone_brand`,`device_model`) ) /* 1 example row: SELECT * FROM phone_brand_device_model2 LIMIT 1; device_id ||phone_brand ||device_model -9223321966609553846 || 小米 || 红米note */ /* column definitions { "device_id": "the id number of the device", "phone_brand": "phone brand", "device_model": "device model" }*/ CREATE TABLE `sample_submission` ( `device_id` INTEGER NOT NULL, `F23-` REAL DEFAULT NULL, `F24-26` REAL DEFAULT NULL, `F27-28` REAL DEFAULT NULL, `F29-32` REAL DEFAULT NULL, `F33-42` REAL DEFAULT NULL, `F43+` REAL DEFAULT NULL, `M22-` REAL DEFAULT NULL, `M23-26` REAL DEFAULT NULL, `M27-28` REAL DEFAULT NULL, `M29-31` REAL DEFAULT NULL, `M32-38` REAL DEFAULT NULL, `M39+` REAL DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM sample_submission LIMIT 1; device_id || F23- ||F24-26 ||F27-28 ||F29-32 ||F33-42 || F43+ || M22- ||M23-26 ||M27-28 ||M29-31 ||M32-38 || M39+ -9223321966609553846 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 */ /* column definitions { "device_id": "", "F23-": "", "F24-26": "", "F27-28": "", "F29-32": "", "F33-42": "", "F43+": "", "M22-": "", "M23-26": "", "M27-28": "", "M29-31": "", "M32-38": "", "M39+": "" }*/ ### Question On which brand of phone are the most applications installed? Clarification: brand of phone refers to phone_brand; most applications are installed refers to MAX(COUNT(is_installed = 1));
[query_database(**{'query': 'SELECT T.phone_brand FROM ( SELECT T1.phone_brand, COUNT(T4.is_active) AS num FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id INNER JOIN events_relevant AS T3 ON T2.device_id = T3.device_id INNER JOIN app_events_relevant AS T4 ON T3.event_id = T4.event_id WHERE T4.is_active = 1 GROUP BY T1.phone_brand ) AS T ORDER BY T.num DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `app_all` ( `app_id` INTEGER NOT NULL, PRIMARY KEY (`app_id`) ) /* 1 example row: SELECT * FROM app_all LIMIT 1; app_id -9223281467940916832 */ /* column definitions { "app_id": "" }*/ CREATE TABLE `app_events` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER NOT NULL, `is_active` INTEGER NOT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "the id of events", "app_id": "the id of app users", "is_installed": "whether this app is installed or not", "is_active": "whether this user is active or not" }*/ CREATE TABLE `app_events_relevant` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER DEFAULT NULL, `is_active` INTEGER DEFAULT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events_relevant` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events_relevant LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "", "app_id": "", "is_installed": "", "is_active": "" }*/ CREATE TABLE `app_labels` ( `app_id` INTEGER NOT NULL, `label_id` INTEGER NOT NULL, FOREIGN KEY (`label_id`) REFERENCES `label_categories` (`label_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_labels LIMIT 1; app_id ||label_id 7324884708820027918 || 251 */ /* column definitions { "app_id": "id of the app user", "label_id": "id of labels represents which behavior category that each user belongs to " }*/ CREATE TABLE `events` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME DEFAULT NULL, `longitude` REAL DEFAULT NULL, `latitude` REAL DEFAULT NULL, PRIMARY KEY (`event_id`) ) /* 1 example row: SELECT * FROM events LIMIT 1; event_id || device_id || timestamp ||longitude ||latitude 1 ||29182687948017175 ||2016-05-01 00:55:25.0 || 121.0 || 31.0 */ /* column definitions { "event_id": "unique id number referring to the event", "device_id": "id number referring the device", "timestamp": "the time of the event", "longitude": "longitude ", "latitude": "latitude" }*/ CREATE TABLE `events_relevant` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME NOT NULL, `longitude` REAL NOT NULL, `latitude` REAL NOT NULL, PRIMARY KEY (`event_id`), FOREIGN KEY (`device_id`) REFERENCES `gender_age` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM events_relevant LIMIT 1; event_id ||device_id || timestamp ||longitude ||latitude 2 || None ||-8942695423876075857 || 1.0 || 0.0 */ /* column definitions { "event_id": "", "device_id": "", "timestamp": "", "longitude": "", "latitude": "" }*/ CREATE TABLE `gender_age` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`), FOREIGN KEY (`device_id`) REFERENCES `phone_brand_device_model2` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM gender_age LIMIT 1; device_id ||gender ||age || group -9221086586254644858 || M || 29 ||M29-31 */ /* column definitions { "device_id": "unique number of devices", "gender": "gender of the user who uses this device", "age": "age of the user who uses this device", "group": "group of the ages" }*/ CREATE TABLE `gender_age_test` ( `device_id` INTEGER NOT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_test LIMIT 1; device_id -9223321966609553846 */ /* column definitions { "device_id": "" }*/ CREATE TABLE `gender_age_train` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_train LIMIT 1; device_id ||gender ||age || group -9223067244542181226 || M || 24 ||M23-26 */ /* column definitions { "device_id": "", "gender": "", "age": "", "group": "" }*/ CREATE TABLE `label_categories` ( `label_id` INTEGER NOT NULL, `category` TEXT DEFAULT NULL, PRIMARY KEY (`label_id`) ) /* 1 example row: SELECT * FROM label_categories LIMIT 1; label_id ||category 1 || None */ /* column definitions { "label_id": "unique id of label", "category": "category of the label" }*/ CREATE TABLE `phone_brand_device_model2` ( `device_id` INTEGER NOT NULL, `phone_brand` TEXT NOT NULL, `device_model` TEXT NOT NULL, PRIMARY KEY (`device_id`,`phone_brand`,`device_model`) ) /* 1 example row: SELECT * FROM phone_brand_device_model2 LIMIT 1; device_id ||phone_brand ||device_model -9223321966609553846 || 小米 || 红米note */ /* column definitions { "device_id": "the id number of the device", "phone_brand": "phone brand", "device_model": "device model" }*/ CREATE TABLE `sample_submission` ( `device_id` INTEGER NOT NULL, `F23-` REAL DEFAULT NULL, `F24-26` REAL DEFAULT NULL, `F27-28` REAL DEFAULT NULL, `F29-32` REAL DEFAULT NULL, `F33-42` REAL DEFAULT NULL, `F43+` REAL DEFAULT NULL, `M22-` REAL DEFAULT NULL, `M23-26` REAL DEFAULT NULL, `M27-28` REAL DEFAULT NULL, `M29-31` REAL DEFAULT NULL, `M32-38` REAL DEFAULT NULL, `M39+` REAL DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM sample_submission LIMIT 1; device_id || F23- ||F24-26 ||F27-28 ||F29-32 ||F33-42 || F43+ || M22- ||M23-26 ||M27-28 ||M29-31 ||M32-38 || M39+ -9223321966609553846 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 */ /* column definitions { "device_id": "", "F23-": "", "F24-26": "", "F27-28": "", "F29-32": "", "F33-42": "", "F43+": "", "M22-": "", "M23-26": "", "M27-28": "", "M29-31": "", "M32-38": "", "M39+": "" }*/
1,212
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `app_all` ( `app_id` INTEGER NOT NULL, PRIMARY KEY (`app_id`) ) /* 1 example row: SELECT * FROM app_all LIMIT 1; app_id -9223281467940916832 */ /* column definitions { "app_id": "" }*/ CREATE TABLE `app_events` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER NOT NULL, `is_active` INTEGER NOT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "the id of events", "app_id": "the id of app users", "is_installed": "whether this app is installed or not", "is_active": "whether this user is active or not" }*/ CREATE TABLE `app_events_relevant` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER DEFAULT NULL, `is_active` INTEGER DEFAULT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events_relevant` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events_relevant LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "", "app_id": "", "is_installed": "", "is_active": "" }*/ CREATE TABLE `app_labels` ( `app_id` INTEGER NOT NULL, `label_id` INTEGER NOT NULL, FOREIGN KEY (`label_id`) REFERENCES `label_categories` (`label_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_labels LIMIT 1; app_id ||label_id 7324884708820027918 || 251 */ /* column definitions { "app_id": "id of the app user", "label_id": "id of labels represents which behavior category that each user belongs to " }*/ CREATE TABLE `events` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME DEFAULT NULL, `longitude` REAL DEFAULT NULL, `latitude` REAL DEFAULT NULL, PRIMARY KEY (`event_id`) ) /* 1 example row: SELECT * FROM events LIMIT 1; event_id || device_id || timestamp ||longitude ||latitude 1 ||29182687948017175 ||2016-05-01 00:55:25.0 || 121.0 || 31.0 */ /* column definitions { "event_id": "unique id number referring to the event", "device_id": "id number referring the device", "timestamp": "the time of the event", "longitude": "longitude ", "latitude": "latitude" }*/ CREATE TABLE `events_relevant` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME NOT NULL, `longitude` REAL NOT NULL, `latitude` REAL NOT NULL, PRIMARY KEY (`event_id`), FOREIGN KEY (`device_id`) REFERENCES `gender_age` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM events_relevant LIMIT 1; event_id ||device_id || timestamp ||longitude ||latitude 2 || None ||-8942695423876075857 || 1.0 || 0.0 */ /* column definitions { "event_id": "", "device_id": "", "timestamp": "", "longitude": "", "latitude": "" }*/ CREATE TABLE `gender_age` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`), FOREIGN KEY (`device_id`) REFERENCES `phone_brand_device_model2` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM gender_age LIMIT 1; device_id ||gender ||age || group -9221086586254644858 || M || 29 ||M29-31 */ /* column definitions { "device_id": "unique number of devices", "gender": "gender of the user who uses this device", "age": "age of the user who uses this device", "group": "group of the ages" }*/ CREATE TABLE `gender_age_test` ( `device_id` INTEGER NOT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_test LIMIT 1; device_id -9223321966609553846 */ /* column definitions { "device_id": "" }*/ CREATE TABLE `gender_age_train` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_train LIMIT 1; device_id ||gender ||age || group -9223067244542181226 || M || 24 ||M23-26 */ /* column definitions { "device_id": "", "gender": "", "age": "", "group": "" }*/ CREATE TABLE `label_categories` ( `label_id` INTEGER NOT NULL, `category` TEXT DEFAULT NULL, PRIMARY KEY (`label_id`) ) /* 1 example row: SELECT * FROM label_categories LIMIT 1; label_id ||category 1 || None */ /* column definitions { "label_id": "unique id of label", "category": "category of the label" }*/ CREATE TABLE `phone_brand_device_model2` ( `device_id` INTEGER NOT NULL, `phone_brand` TEXT NOT NULL, `device_model` TEXT NOT NULL, PRIMARY KEY (`device_id`,`phone_brand`,`device_model`) ) /* 1 example row: SELECT * FROM phone_brand_device_model2 LIMIT 1; device_id ||phone_brand ||device_model -9223321966609553846 || 小米 || 红米note */ /* column definitions { "device_id": "the id number of the device", "phone_brand": "phone brand", "device_model": "device model" }*/ CREATE TABLE `sample_submission` ( `device_id` INTEGER NOT NULL, `F23-` REAL DEFAULT NULL, `F24-26` REAL DEFAULT NULL, `F27-28` REAL DEFAULT NULL, `F29-32` REAL DEFAULT NULL, `F33-42` REAL DEFAULT NULL, `F43+` REAL DEFAULT NULL, `M22-` REAL DEFAULT NULL, `M23-26` REAL DEFAULT NULL, `M27-28` REAL DEFAULT NULL, `M29-31` REAL DEFAULT NULL, `M32-38` REAL DEFAULT NULL, `M39+` REAL DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM sample_submission LIMIT 1; device_id || F23- ||F24-26 ||F27-28 ||F29-32 ||F33-42 || F43+ || M22- ||M23-26 ||M27-28 ||M29-31 ||M32-38 || M39+ -9223321966609553846 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 */ /* column definitions { "device_id": "", "F23-": "", "F24-26": "", "F27-28": "", "F29-32": "", "F33-42": "", "F43+": "", "M22-": "", "M23-26": "", "M27-28": "", "M29-31": "", "M32-38": "", "M39+": "" }*/ ### Question What age group is the most using SM-T2558 model phones? Clarification: age group using SM-T2558 model phones the most refers to MAX(COUNT(group WHERE device_model = 'SM-T2558')); SM-T2558 model phones refers to device_model = 'SM-T2558';
[query_database(**{'query': 'SELECT T.`group` FROM ( SELECT T1.`group`, COUNT(T1.device_id) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'SM-T2558' GROUP BY T1.`group` ) AS T ORDER BY T.num DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `app_all` ( `app_id` INTEGER NOT NULL, PRIMARY KEY (`app_id`) ) /* 1 example row: SELECT * FROM app_all LIMIT 1; app_id -9223281467940916832 */ /* column definitions { "app_id": "" }*/ CREATE TABLE `app_events` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER NOT NULL, `is_active` INTEGER NOT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "the id of events", "app_id": "the id of app users", "is_installed": "whether this app is installed or not", "is_active": "whether this user is active or not" }*/ CREATE TABLE `app_events_relevant` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER DEFAULT NULL, `is_active` INTEGER DEFAULT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events_relevant` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events_relevant LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "", "app_id": "", "is_installed": "", "is_active": "" }*/ CREATE TABLE `app_labels` ( `app_id` INTEGER NOT NULL, `label_id` INTEGER NOT NULL, FOREIGN KEY (`label_id`) REFERENCES `label_categories` (`label_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_labels LIMIT 1; app_id ||label_id 7324884708820027918 || 251 */ /* column definitions { "app_id": "id of the app user", "label_id": "id of labels represents which behavior category that each user belongs to " }*/ CREATE TABLE `events` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME DEFAULT NULL, `longitude` REAL DEFAULT NULL, `latitude` REAL DEFAULT NULL, PRIMARY KEY (`event_id`) ) /* 1 example row: SELECT * FROM events LIMIT 1; event_id || device_id || timestamp ||longitude ||latitude 1 ||29182687948017175 ||2016-05-01 00:55:25.0 || 121.0 || 31.0 */ /* column definitions { "event_id": "unique id number referring to the event", "device_id": "id number referring the device", "timestamp": "the time of the event", "longitude": "longitude ", "latitude": "latitude" }*/ CREATE TABLE `events_relevant` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME NOT NULL, `longitude` REAL NOT NULL, `latitude` REAL NOT NULL, PRIMARY KEY (`event_id`), FOREIGN KEY (`device_id`) REFERENCES `gender_age` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM events_relevant LIMIT 1; event_id ||device_id || timestamp ||longitude ||latitude 2 || None ||-8942695423876075857 || 1.0 || 0.0 */ /* column definitions { "event_id": "", "device_id": "", "timestamp": "", "longitude": "", "latitude": "" }*/ CREATE TABLE `gender_age` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`), FOREIGN KEY (`device_id`) REFERENCES `phone_brand_device_model2` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM gender_age LIMIT 1; device_id ||gender ||age || group -9221086586254644858 || M || 29 ||M29-31 */ /* column definitions { "device_id": "unique number of devices", "gender": "gender of the user who uses this device", "age": "age of the user who uses this device", "group": "group of the ages" }*/ CREATE TABLE `gender_age_test` ( `device_id` INTEGER NOT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_test LIMIT 1; device_id -9223321966609553846 */ /* column definitions { "device_id": "" }*/ CREATE TABLE `gender_age_train` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_train LIMIT 1; device_id ||gender ||age || group -9223067244542181226 || M || 24 ||M23-26 */ /* column definitions { "device_id": "", "gender": "", "age": "", "group": "" }*/ CREATE TABLE `label_categories` ( `label_id` INTEGER NOT NULL, `category` TEXT DEFAULT NULL, PRIMARY KEY (`label_id`) ) /* 1 example row: SELECT * FROM label_categories LIMIT 1; label_id ||category 1 || None */ /* column definitions { "label_id": "unique id of label", "category": "category of the label" }*/ CREATE TABLE `phone_brand_device_model2` ( `device_id` INTEGER NOT NULL, `phone_brand` TEXT NOT NULL, `device_model` TEXT NOT NULL, PRIMARY KEY (`device_id`,`phone_brand`,`device_model`) ) /* 1 example row: SELECT * FROM phone_brand_device_model2 LIMIT 1; device_id ||phone_brand ||device_model -9223321966609553846 || 小米 || 红米note */ /* column definitions { "device_id": "the id number of the device", "phone_brand": "phone brand", "device_model": "device model" }*/ CREATE TABLE `sample_submission` ( `device_id` INTEGER NOT NULL, `F23-` REAL DEFAULT NULL, `F24-26` REAL DEFAULT NULL, `F27-28` REAL DEFAULT NULL, `F29-32` REAL DEFAULT NULL, `F33-42` REAL DEFAULT NULL, `F43+` REAL DEFAULT NULL, `M22-` REAL DEFAULT NULL, `M23-26` REAL DEFAULT NULL, `M27-28` REAL DEFAULT NULL, `M29-31` REAL DEFAULT NULL, `M32-38` REAL DEFAULT NULL, `M39+` REAL DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM sample_submission LIMIT 1; device_id || F23- ||F24-26 ||F27-28 ||F29-32 ||F33-42 || F43+ || M22- ||M23-26 ||M27-28 ||M29-31 ||M32-38 || M39+ -9223321966609553846 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 */ /* column definitions { "device_id": "", "F23-": "", "F24-26": "", "F27-28": "", "F29-32": "", "F33-42": "", "F43+": "", "M22-": "", "M23-26": "", "M27-28": "", "M29-31": "", "M32-38": "", "M39+": "" }*/
1,216
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `app_all` ( `app_id` INTEGER NOT NULL, PRIMARY KEY (`app_id`) ) /* 1 example row: SELECT * FROM app_all LIMIT 1; app_id -9223281467940916832 */ /* column definitions { "app_id": "" }*/ CREATE TABLE `app_events` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER NOT NULL, `is_active` INTEGER NOT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "the id of events", "app_id": "the id of app users", "is_installed": "whether this app is installed or not", "is_active": "whether this user is active or not" }*/ CREATE TABLE `app_events_relevant` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER DEFAULT NULL, `is_active` INTEGER DEFAULT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events_relevant` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events_relevant LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "", "app_id": "", "is_installed": "", "is_active": "" }*/ CREATE TABLE `app_labels` ( `app_id` INTEGER NOT NULL, `label_id` INTEGER NOT NULL, FOREIGN KEY (`label_id`) REFERENCES `label_categories` (`label_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_labels LIMIT 1; app_id ||label_id 7324884708820027918 || 251 */ /* column definitions { "app_id": "id of the app user", "label_id": "id of labels represents which behavior category that each user belongs to " }*/ CREATE TABLE `events` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME DEFAULT NULL, `longitude` REAL DEFAULT NULL, `latitude` REAL DEFAULT NULL, PRIMARY KEY (`event_id`) ) /* 1 example row: SELECT * FROM events LIMIT 1; event_id || device_id || timestamp ||longitude ||latitude 1 ||29182687948017175 ||2016-05-01 00:55:25.0 || 121.0 || 31.0 */ /* column definitions { "event_id": "unique id number referring to the event", "device_id": "id number referring the device", "timestamp": "the time of the event", "longitude": "longitude ", "latitude": "latitude" }*/ CREATE TABLE `events_relevant` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME NOT NULL, `longitude` REAL NOT NULL, `latitude` REAL NOT NULL, PRIMARY KEY (`event_id`), FOREIGN KEY (`device_id`) REFERENCES `gender_age` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM events_relevant LIMIT 1; event_id ||device_id || timestamp ||longitude ||latitude 2 || None ||-8942695423876075857 || 1.0 || 0.0 */ /* column definitions { "event_id": "", "device_id": "", "timestamp": "", "longitude": "", "latitude": "" }*/ CREATE TABLE `gender_age` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`), FOREIGN KEY (`device_id`) REFERENCES `phone_brand_device_model2` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM gender_age LIMIT 1; device_id ||gender ||age || group -9221086586254644858 || M || 29 ||M29-31 */ /* column definitions { "device_id": "unique number of devices", "gender": "gender of the user who uses this device", "age": "age of the user who uses this device", "group": "group of the ages" }*/ CREATE TABLE `gender_age_test` ( `device_id` INTEGER NOT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_test LIMIT 1; device_id -9223321966609553846 */ /* column definitions { "device_id": "" }*/ CREATE TABLE `gender_age_train` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_train LIMIT 1; device_id ||gender ||age || group -9223067244542181226 || M || 24 ||M23-26 */ /* column definitions { "device_id": "", "gender": "", "age": "", "group": "" }*/ CREATE TABLE `label_categories` ( `label_id` INTEGER NOT NULL, `category` TEXT DEFAULT NULL, PRIMARY KEY (`label_id`) ) /* 1 example row: SELECT * FROM label_categories LIMIT 1; label_id ||category 1 || None */ /* column definitions { "label_id": "unique id of label", "category": "category of the label" }*/ CREATE TABLE `phone_brand_device_model2` ( `device_id` INTEGER NOT NULL, `phone_brand` TEXT NOT NULL, `device_model` TEXT NOT NULL, PRIMARY KEY (`device_id`,`phone_brand`,`device_model`) ) /* 1 example row: SELECT * FROM phone_brand_device_model2 LIMIT 1; device_id ||phone_brand ||device_model -9223321966609553846 || 小米 || 红米note */ /* column definitions { "device_id": "the id number of the device", "phone_brand": "phone brand", "device_model": "device model" }*/ CREATE TABLE `sample_submission` ( `device_id` INTEGER NOT NULL, `F23-` REAL DEFAULT NULL, `F24-26` REAL DEFAULT NULL, `F27-28` REAL DEFAULT NULL, `F29-32` REAL DEFAULT NULL, `F33-42` REAL DEFAULT NULL, `F43+` REAL DEFAULT NULL, `M22-` REAL DEFAULT NULL, `M23-26` REAL DEFAULT NULL, `M27-28` REAL DEFAULT NULL, `M29-31` REAL DEFAULT NULL, `M32-38` REAL DEFAULT NULL, `M39+` REAL DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM sample_submission LIMIT 1; device_id || F23- ||F24-26 ||F27-28 ||F29-32 ||F33-42 || F43+ || M22- ||M23-26 ||M27-28 ||M29-31 ||M32-38 || M39+ -9223321966609553846 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 */ /* column definitions { "device_id": "", "F23-": "", "F24-26": "", "F27-28": "", "F29-32": "", "F33-42": "", "F43+": "", "M22-": "", "M23-26": "", "M27-28": "", "M29-31": "", "M32-38": "", "M39+": "" }*/ ### Question Calculate the average age of people who have apps installed but are not active on their devices. Clarification: average age = AVG(age); installed refers to is_installed = 1; not active refers to is_active = 0;
[query_database(**{'query': 'SELECT AVG(T1.age) FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id INNER JOIN app_events_relevant AS T3 ON T2.event_id = T3.event_id WHERE T3.is_installed = 1 AND T3.is_active = 0'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `app_all` ( `app_id` INTEGER NOT NULL, PRIMARY KEY (`app_id`) ) /* 1 example row: SELECT * FROM app_all LIMIT 1; app_id -9223281467940916832 */ /* column definitions { "app_id": "" }*/ CREATE TABLE `app_events` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER NOT NULL, `is_active` INTEGER NOT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "the id of events", "app_id": "the id of app users", "is_installed": "whether this app is installed or not", "is_active": "whether this user is active or not" }*/ CREATE TABLE `app_events_relevant` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER DEFAULT NULL, `is_active` INTEGER DEFAULT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events_relevant` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events_relevant LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "", "app_id": "", "is_installed": "", "is_active": "" }*/ CREATE TABLE `app_labels` ( `app_id` INTEGER NOT NULL, `label_id` INTEGER NOT NULL, FOREIGN KEY (`label_id`) REFERENCES `label_categories` (`label_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_labels LIMIT 1; app_id ||label_id 7324884708820027918 || 251 */ /* column definitions { "app_id": "id of the app user", "label_id": "id of labels represents which behavior category that each user belongs to " }*/ CREATE TABLE `events` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME DEFAULT NULL, `longitude` REAL DEFAULT NULL, `latitude` REAL DEFAULT NULL, PRIMARY KEY (`event_id`) ) /* 1 example row: SELECT * FROM events LIMIT 1; event_id || device_id || timestamp ||longitude ||latitude 1 ||29182687948017175 ||2016-05-01 00:55:25.0 || 121.0 || 31.0 */ /* column definitions { "event_id": "unique id number referring to the event", "device_id": "id number referring the device", "timestamp": "the time of the event", "longitude": "longitude ", "latitude": "latitude" }*/ CREATE TABLE `events_relevant` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME NOT NULL, `longitude` REAL NOT NULL, `latitude` REAL NOT NULL, PRIMARY KEY (`event_id`), FOREIGN KEY (`device_id`) REFERENCES `gender_age` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM events_relevant LIMIT 1; event_id ||device_id || timestamp ||longitude ||latitude 2 || None ||-8942695423876075857 || 1.0 || 0.0 */ /* column definitions { "event_id": "", "device_id": "", "timestamp": "", "longitude": "", "latitude": "" }*/ CREATE TABLE `gender_age` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`), FOREIGN KEY (`device_id`) REFERENCES `phone_brand_device_model2` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM gender_age LIMIT 1; device_id ||gender ||age || group -9221086586254644858 || M || 29 ||M29-31 */ /* column definitions { "device_id": "unique number of devices", "gender": "gender of the user who uses this device", "age": "age of the user who uses this device", "group": "group of the ages" }*/ CREATE TABLE `gender_age_test` ( `device_id` INTEGER NOT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_test LIMIT 1; device_id -9223321966609553846 */ /* column definitions { "device_id": "" }*/ CREATE TABLE `gender_age_train` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_train LIMIT 1; device_id ||gender ||age || group -9223067244542181226 || M || 24 ||M23-26 */ /* column definitions { "device_id": "", "gender": "", "age": "", "group": "" }*/ CREATE TABLE `label_categories` ( `label_id` INTEGER NOT NULL, `category` TEXT DEFAULT NULL, PRIMARY KEY (`label_id`) ) /* 1 example row: SELECT * FROM label_categories LIMIT 1; label_id ||category 1 || None */ /* column definitions { "label_id": "unique id of label", "category": "category of the label" }*/ CREATE TABLE `phone_brand_device_model2` ( `device_id` INTEGER NOT NULL, `phone_brand` TEXT NOT NULL, `device_model` TEXT NOT NULL, PRIMARY KEY (`device_id`,`phone_brand`,`device_model`) ) /* 1 example row: SELECT * FROM phone_brand_device_model2 LIMIT 1; device_id ||phone_brand ||device_model -9223321966609553846 || 小米 || 红米note */ /* column definitions { "device_id": "the id number of the device", "phone_brand": "phone brand", "device_model": "device model" }*/ CREATE TABLE `sample_submission` ( `device_id` INTEGER NOT NULL, `F23-` REAL DEFAULT NULL, `F24-26` REAL DEFAULT NULL, `F27-28` REAL DEFAULT NULL, `F29-32` REAL DEFAULT NULL, `F33-42` REAL DEFAULT NULL, `F43+` REAL DEFAULT NULL, `M22-` REAL DEFAULT NULL, `M23-26` REAL DEFAULT NULL, `M27-28` REAL DEFAULT NULL, `M29-31` REAL DEFAULT NULL, `M32-38` REAL DEFAULT NULL, `M39+` REAL DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM sample_submission LIMIT 1; device_id || F23- ||F24-26 ||F27-28 ||F29-32 ||F33-42 || F43+ || M22- ||M23-26 ||M27-28 ||M29-31 ||M32-38 || M39+ -9223321966609553846 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 */ /* column definitions { "device_id": "", "F23-": "", "F24-26": "", "F27-28": "", "F29-32": "", "F33-42": "", "F43+": "", "M22-": "", "M23-26": "", "M27-28": "", "M29-31": "", "M32-38": "", "M39+": "" }*/
1,220
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `app_all` ( `app_id` INTEGER NOT NULL, PRIMARY KEY (`app_id`) ) /* 1 example row: SELECT * FROM app_all LIMIT 1; app_id -9223281467940916832 */ /* column definitions { "app_id": "" }*/ CREATE TABLE `app_events` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER NOT NULL, `is_active` INTEGER NOT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "the id of events", "app_id": "the id of app users", "is_installed": "whether this app is installed or not", "is_active": "whether this user is active or not" }*/ CREATE TABLE `app_events_relevant` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER DEFAULT NULL, `is_active` INTEGER DEFAULT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events_relevant` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events_relevant LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "", "app_id": "", "is_installed": "", "is_active": "" }*/ CREATE TABLE `app_labels` ( `app_id` INTEGER NOT NULL, `label_id` INTEGER NOT NULL, FOREIGN KEY (`label_id`) REFERENCES `label_categories` (`label_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_labels LIMIT 1; app_id ||label_id 7324884708820027918 || 251 */ /* column definitions { "app_id": "id of the app user", "label_id": "id of labels represents which behavior category that each user belongs to " }*/ CREATE TABLE `events` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME DEFAULT NULL, `longitude` REAL DEFAULT NULL, `latitude` REAL DEFAULT NULL, PRIMARY KEY (`event_id`) ) /* 1 example row: SELECT * FROM events LIMIT 1; event_id || device_id || timestamp ||longitude ||latitude 1 ||29182687948017175 ||2016-05-01 00:55:25.0 || 121.0 || 31.0 */ /* column definitions { "event_id": "unique id number referring to the event", "device_id": "id number referring the device", "timestamp": "the time of the event", "longitude": "longitude ", "latitude": "latitude" }*/ CREATE TABLE `events_relevant` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME NOT NULL, `longitude` REAL NOT NULL, `latitude` REAL NOT NULL, PRIMARY KEY (`event_id`), FOREIGN KEY (`device_id`) REFERENCES `gender_age` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM events_relevant LIMIT 1; event_id ||device_id || timestamp ||longitude ||latitude 2 || None ||-8942695423876075857 || 1.0 || 0.0 */ /* column definitions { "event_id": "", "device_id": "", "timestamp": "", "longitude": "", "latitude": "" }*/ CREATE TABLE `gender_age` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`), FOREIGN KEY (`device_id`) REFERENCES `phone_brand_device_model2` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM gender_age LIMIT 1; device_id ||gender ||age || group -9221086586254644858 || M || 29 ||M29-31 */ /* column definitions { "device_id": "unique number of devices", "gender": "gender of the user who uses this device", "age": "age of the user who uses this device", "group": "group of the ages" }*/ CREATE TABLE `gender_age_test` ( `device_id` INTEGER NOT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_test LIMIT 1; device_id -9223321966609553846 */ /* column definitions { "device_id": "" }*/ CREATE TABLE `gender_age_train` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_train LIMIT 1; device_id ||gender ||age || group -9223067244542181226 || M || 24 ||M23-26 */ /* column definitions { "device_id": "", "gender": "", "age": "", "group": "" }*/ CREATE TABLE `label_categories` ( `label_id` INTEGER NOT NULL, `category` TEXT DEFAULT NULL, PRIMARY KEY (`label_id`) ) /* 1 example row: SELECT * FROM label_categories LIMIT 1; label_id ||category 1 || None */ /* column definitions { "label_id": "unique id of label", "category": "category of the label" }*/ CREATE TABLE `phone_brand_device_model2` ( `device_id` INTEGER NOT NULL, `phone_brand` TEXT NOT NULL, `device_model` TEXT NOT NULL, PRIMARY KEY (`device_id`,`phone_brand`,`device_model`) ) /* 1 example row: SELECT * FROM phone_brand_device_model2 LIMIT 1; device_id ||phone_brand ||device_model -9223321966609553846 || 小米 || 红米note */ /* column definitions { "device_id": "the id number of the device", "phone_brand": "phone brand", "device_model": "device model" }*/ CREATE TABLE `sample_submission` ( `device_id` INTEGER NOT NULL, `F23-` REAL DEFAULT NULL, `F24-26` REAL DEFAULT NULL, `F27-28` REAL DEFAULT NULL, `F29-32` REAL DEFAULT NULL, `F33-42` REAL DEFAULT NULL, `F43+` REAL DEFAULT NULL, `M22-` REAL DEFAULT NULL, `M23-26` REAL DEFAULT NULL, `M27-28` REAL DEFAULT NULL, `M29-31` REAL DEFAULT NULL, `M32-38` REAL DEFAULT NULL, `M39+` REAL DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM sample_submission LIMIT 1; device_id || F23- ||F24-26 ||F27-28 ||F29-32 ||F33-42 || F43+ || M22- ||M23-26 ||M27-28 ||M29-31 ||M32-38 || M39+ -9223321966609553846 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 */ /* column definitions { "device_id": "", "F23-": "", "F24-26": "", "F27-28": "", "F29-32": "", "F33-42": "", "F43+": "", "M22-": "", "M23-26": "", "M27-28": "", "M29-31": "", "M32-38": "", "M39+": "" }*/ ### Question Please list any three devices that are owned by female users. Clarification: female refers to gender = 'F';
[query_database(**{'query': 'SELECT device_id FROM gender_age WHERE gender = 'F' LIMIT 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `app_all` ( `app_id` INTEGER NOT NULL, PRIMARY KEY (`app_id`) ) /* 1 example row: SELECT * FROM app_all LIMIT 1; app_id -9223281467940916832 */ /* column definitions { "app_id": "" }*/ CREATE TABLE `app_events` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER NOT NULL, `is_active` INTEGER NOT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "the id of events", "app_id": "the id of app users", "is_installed": "whether this app is installed or not", "is_active": "whether this user is active or not" }*/ CREATE TABLE `app_events_relevant` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER DEFAULT NULL, `is_active` INTEGER DEFAULT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events_relevant` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events_relevant LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "", "app_id": "", "is_installed": "", "is_active": "" }*/ CREATE TABLE `app_labels` ( `app_id` INTEGER NOT NULL, `label_id` INTEGER NOT NULL, FOREIGN KEY (`label_id`) REFERENCES `label_categories` (`label_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_labels LIMIT 1; app_id ||label_id 7324884708820027918 || 251 */ /* column definitions { "app_id": "id of the app user", "label_id": "id of labels represents which behavior category that each user belongs to " }*/ CREATE TABLE `events` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME DEFAULT NULL, `longitude` REAL DEFAULT NULL, `latitude` REAL DEFAULT NULL, PRIMARY KEY (`event_id`) ) /* 1 example row: SELECT * FROM events LIMIT 1; event_id || device_id || timestamp ||longitude ||latitude 1 ||29182687948017175 ||2016-05-01 00:55:25.0 || 121.0 || 31.0 */ /* column definitions { "event_id": "unique id number referring to the event", "device_id": "id number referring the device", "timestamp": "the time of the event", "longitude": "longitude ", "latitude": "latitude" }*/ CREATE TABLE `events_relevant` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME NOT NULL, `longitude` REAL NOT NULL, `latitude` REAL NOT NULL, PRIMARY KEY (`event_id`), FOREIGN KEY (`device_id`) REFERENCES `gender_age` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM events_relevant LIMIT 1; event_id ||device_id || timestamp ||longitude ||latitude 2 || None ||-8942695423876075857 || 1.0 || 0.0 */ /* column definitions { "event_id": "", "device_id": "", "timestamp": "", "longitude": "", "latitude": "" }*/ CREATE TABLE `gender_age` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`), FOREIGN KEY (`device_id`) REFERENCES `phone_brand_device_model2` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM gender_age LIMIT 1; device_id ||gender ||age || group -9221086586254644858 || M || 29 ||M29-31 */ /* column definitions { "device_id": "unique number of devices", "gender": "gender of the user who uses this device", "age": "age of the user who uses this device", "group": "group of the ages" }*/ CREATE TABLE `gender_age_test` ( `device_id` INTEGER NOT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_test LIMIT 1; device_id -9223321966609553846 */ /* column definitions { "device_id": "" }*/ CREATE TABLE `gender_age_train` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_train LIMIT 1; device_id ||gender ||age || group -9223067244542181226 || M || 24 ||M23-26 */ /* column definitions { "device_id": "", "gender": "", "age": "", "group": "" }*/ CREATE TABLE `label_categories` ( `label_id` INTEGER NOT NULL, `category` TEXT DEFAULT NULL, PRIMARY KEY (`label_id`) ) /* 1 example row: SELECT * FROM label_categories LIMIT 1; label_id ||category 1 || None */ /* column definitions { "label_id": "unique id of label", "category": "category of the label" }*/ CREATE TABLE `phone_brand_device_model2` ( `device_id` INTEGER NOT NULL, `phone_brand` TEXT NOT NULL, `device_model` TEXT NOT NULL, PRIMARY KEY (`device_id`,`phone_brand`,`device_model`) ) /* 1 example row: SELECT * FROM phone_brand_device_model2 LIMIT 1; device_id ||phone_brand ||device_model -9223321966609553846 || 小米 || 红米note */ /* column definitions { "device_id": "the id number of the device", "phone_brand": "phone brand", "device_model": "device model" }*/ CREATE TABLE `sample_submission` ( `device_id` INTEGER NOT NULL, `F23-` REAL DEFAULT NULL, `F24-26` REAL DEFAULT NULL, `F27-28` REAL DEFAULT NULL, `F29-32` REAL DEFAULT NULL, `F33-42` REAL DEFAULT NULL, `F43+` REAL DEFAULT NULL, `M22-` REAL DEFAULT NULL, `M23-26` REAL DEFAULT NULL, `M27-28` REAL DEFAULT NULL, `M29-31` REAL DEFAULT NULL, `M32-38` REAL DEFAULT NULL, `M39+` REAL DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM sample_submission LIMIT 1; device_id || F23- ||F24-26 ||F27-28 ||F29-32 ||F33-42 || F43+ || M22- ||M23-26 ||M27-28 ||M29-31 ||M32-38 || M39+ -9223321966609553846 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 */ /* column definitions { "device_id": "", "F23-": "", "F24-26": "", "F27-28": "", "F29-32": "", "F33-42": "", "F43+": "", "M22-": "", "M23-26": "", "M27-28": "", "M29-31": "", "M32-38": "", "M39+": "" }*/
1,224
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `app_all` ( `app_id` INTEGER NOT NULL, PRIMARY KEY (`app_id`) ) /* 1 example row: SELECT * FROM app_all LIMIT 1; app_id -9223281467940916832 */ /* column definitions { "app_id": "" }*/ CREATE TABLE `app_events` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER NOT NULL, `is_active` INTEGER NOT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "the id of events", "app_id": "the id of app users", "is_installed": "whether this app is installed or not", "is_active": "whether this user is active or not" }*/ CREATE TABLE `app_events_relevant` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER DEFAULT NULL, `is_active` INTEGER DEFAULT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events_relevant` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events_relevant LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "", "app_id": "", "is_installed": "", "is_active": "" }*/ CREATE TABLE `app_labels` ( `app_id` INTEGER NOT NULL, `label_id` INTEGER NOT NULL, FOREIGN KEY (`label_id`) REFERENCES `label_categories` (`label_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_labels LIMIT 1; app_id ||label_id 7324884708820027918 || 251 */ /* column definitions { "app_id": "id of the app user", "label_id": "id of labels represents which behavior category that each user belongs to " }*/ CREATE TABLE `events` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME DEFAULT NULL, `longitude` REAL DEFAULT NULL, `latitude` REAL DEFAULT NULL, PRIMARY KEY (`event_id`) ) /* 1 example row: SELECT * FROM events LIMIT 1; event_id || device_id || timestamp ||longitude ||latitude 1 ||29182687948017175 ||2016-05-01 00:55:25.0 || 121.0 || 31.0 */ /* column definitions { "event_id": "unique id number referring to the event", "device_id": "id number referring the device", "timestamp": "the time of the event", "longitude": "longitude ", "latitude": "latitude" }*/ CREATE TABLE `events_relevant` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME NOT NULL, `longitude` REAL NOT NULL, `latitude` REAL NOT NULL, PRIMARY KEY (`event_id`), FOREIGN KEY (`device_id`) REFERENCES `gender_age` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM events_relevant LIMIT 1; event_id ||device_id || timestamp ||longitude ||latitude 2 || None ||-8942695423876075857 || 1.0 || 0.0 */ /* column definitions { "event_id": "", "device_id": "", "timestamp": "", "longitude": "", "latitude": "" }*/ CREATE TABLE `gender_age` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`), FOREIGN KEY (`device_id`) REFERENCES `phone_brand_device_model2` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM gender_age LIMIT 1; device_id ||gender ||age || group -9221086586254644858 || M || 29 ||M29-31 */ /* column definitions { "device_id": "unique number of devices", "gender": "gender of the user who uses this device", "age": "age of the user who uses this device", "group": "group of the ages" }*/ CREATE TABLE `gender_age_test` ( `device_id` INTEGER NOT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_test LIMIT 1; device_id -9223321966609553846 */ /* column definitions { "device_id": "" }*/ CREATE TABLE `gender_age_train` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_train LIMIT 1; device_id ||gender ||age || group -9223067244542181226 || M || 24 ||M23-26 */ /* column definitions { "device_id": "", "gender": "", "age": "", "group": "" }*/ CREATE TABLE `label_categories` ( `label_id` INTEGER NOT NULL, `category` TEXT DEFAULT NULL, PRIMARY KEY (`label_id`) ) /* 1 example row: SELECT * FROM label_categories LIMIT 1; label_id ||category 1 || None */ /* column definitions { "label_id": "unique id of label", "category": "category of the label" }*/ CREATE TABLE `phone_brand_device_model2` ( `device_id` INTEGER NOT NULL, `phone_brand` TEXT NOT NULL, `device_model` TEXT NOT NULL, PRIMARY KEY (`device_id`,`phone_brand`,`device_model`) ) /* 1 example row: SELECT * FROM phone_brand_device_model2 LIMIT 1; device_id ||phone_brand ||device_model -9223321966609553846 || 小米 || 红米note */ /* column definitions { "device_id": "the id number of the device", "phone_brand": "phone brand", "device_model": "device model" }*/ CREATE TABLE `sample_submission` ( `device_id` INTEGER NOT NULL, `F23-` REAL DEFAULT NULL, `F24-26` REAL DEFAULT NULL, `F27-28` REAL DEFAULT NULL, `F29-32` REAL DEFAULT NULL, `F33-42` REAL DEFAULT NULL, `F43+` REAL DEFAULT NULL, `M22-` REAL DEFAULT NULL, `M23-26` REAL DEFAULT NULL, `M27-28` REAL DEFAULT NULL, `M29-31` REAL DEFAULT NULL, `M32-38` REAL DEFAULT NULL, `M39+` REAL DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM sample_submission LIMIT 1; device_id || F23- ||F24-26 ||F27-28 ||F29-32 ||F33-42 || F43+ || M22- ||M23-26 ||M27-28 ||M29-31 ||M32-38 || M39+ -9223321966609553846 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 */ /* column definitions { "device_id": "", "F23-": "", "F24-26": "", "F27-28": "", "F29-32": "", "F33-42": "", "F43+": "", "M22-": "", "M23-26": "", "M27-28": "", "M29-31": "", "M32-38": "", "M39+": "" }*/ ### Question Which gender owned more of the Galaxy Note 2 device model? Clarification: gender that owned more = SUBTRACT(IF(SUM(gender = 'M'), SUM(gender = 'F'),'M','F'));
[query_database(**{'query': 'SELECT IIF(SUM(IIF(T1.gender = 'M', 1, 0)) - SUM(IIF(T1.gender = 'F', 1, 0)) > 0, 'M', 'F') AS gender FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `app_all` ( `app_id` INTEGER NOT NULL, PRIMARY KEY (`app_id`) ) /* 1 example row: SELECT * FROM app_all LIMIT 1; app_id -9223281467940916832 */ /* column definitions { "app_id": "" }*/ CREATE TABLE `app_events` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER NOT NULL, `is_active` INTEGER NOT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "the id of events", "app_id": "the id of app users", "is_installed": "whether this app is installed or not", "is_active": "whether this user is active or not" }*/ CREATE TABLE `app_events_relevant` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER DEFAULT NULL, `is_active` INTEGER DEFAULT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events_relevant` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events_relevant LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "", "app_id": "", "is_installed": "", "is_active": "" }*/ CREATE TABLE `app_labels` ( `app_id` INTEGER NOT NULL, `label_id` INTEGER NOT NULL, FOREIGN KEY (`label_id`) REFERENCES `label_categories` (`label_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_labels LIMIT 1; app_id ||label_id 7324884708820027918 || 251 */ /* column definitions { "app_id": "id of the app user", "label_id": "id of labels represents which behavior category that each user belongs to " }*/ CREATE TABLE `events` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME DEFAULT NULL, `longitude` REAL DEFAULT NULL, `latitude` REAL DEFAULT NULL, PRIMARY KEY (`event_id`) ) /* 1 example row: SELECT * FROM events LIMIT 1; event_id || device_id || timestamp ||longitude ||latitude 1 ||29182687948017175 ||2016-05-01 00:55:25.0 || 121.0 || 31.0 */ /* column definitions { "event_id": "unique id number referring to the event", "device_id": "id number referring the device", "timestamp": "the time of the event", "longitude": "longitude ", "latitude": "latitude" }*/ CREATE TABLE `events_relevant` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME NOT NULL, `longitude` REAL NOT NULL, `latitude` REAL NOT NULL, PRIMARY KEY (`event_id`), FOREIGN KEY (`device_id`) REFERENCES `gender_age` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM events_relevant LIMIT 1; event_id ||device_id || timestamp ||longitude ||latitude 2 || None ||-8942695423876075857 || 1.0 || 0.0 */ /* column definitions { "event_id": "", "device_id": "", "timestamp": "", "longitude": "", "latitude": "" }*/ CREATE TABLE `gender_age` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`), FOREIGN KEY (`device_id`) REFERENCES `phone_brand_device_model2` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM gender_age LIMIT 1; device_id ||gender ||age || group -9221086586254644858 || M || 29 ||M29-31 */ /* column definitions { "device_id": "unique number of devices", "gender": "gender of the user who uses this device", "age": "age of the user who uses this device", "group": "group of the ages" }*/ CREATE TABLE `gender_age_test` ( `device_id` INTEGER NOT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_test LIMIT 1; device_id -9223321966609553846 */ /* column definitions { "device_id": "" }*/ CREATE TABLE `gender_age_train` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_train LIMIT 1; device_id ||gender ||age || group -9223067244542181226 || M || 24 ||M23-26 */ /* column definitions { "device_id": "", "gender": "", "age": "", "group": "" }*/ CREATE TABLE `label_categories` ( `label_id` INTEGER NOT NULL, `category` TEXT DEFAULT NULL, PRIMARY KEY (`label_id`) ) /* 1 example row: SELECT * FROM label_categories LIMIT 1; label_id ||category 1 || None */ /* column definitions { "label_id": "unique id of label", "category": "category of the label" }*/ CREATE TABLE `phone_brand_device_model2` ( `device_id` INTEGER NOT NULL, `phone_brand` TEXT NOT NULL, `device_model` TEXT NOT NULL, PRIMARY KEY (`device_id`,`phone_brand`,`device_model`) ) /* 1 example row: SELECT * FROM phone_brand_device_model2 LIMIT 1; device_id ||phone_brand ||device_model -9223321966609553846 || 小米 || 红米note */ /* column definitions { "device_id": "the id number of the device", "phone_brand": "phone brand", "device_model": "device model" }*/ CREATE TABLE `sample_submission` ( `device_id` INTEGER NOT NULL, `F23-` REAL DEFAULT NULL, `F24-26` REAL DEFAULT NULL, `F27-28` REAL DEFAULT NULL, `F29-32` REAL DEFAULT NULL, `F33-42` REAL DEFAULT NULL, `F43+` REAL DEFAULT NULL, `M22-` REAL DEFAULT NULL, `M23-26` REAL DEFAULT NULL, `M27-28` REAL DEFAULT NULL, `M29-31` REAL DEFAULT NULL, `M32-38` REAL DEFAULT NULL, `M39+` REAL DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM sample_submission LIMIT 1; device_id || F23- ||F24-26 ||F27-28 ||F29-32 ||F33-42 || F43+ || M22- ||M23-26 ||M27-28 ||M29-31 ||M32-38 || M39+ -9223321966609553846 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 */ /* column definitions { "device_id": "", "F23-": "", "F24-26": "", "F27-28": "", "F29-32": "", "F33-42": "", "F43+": "", "M22-": "", "M23-26": "", "M27-28": "", "M29-31": "", "M32-38": "", "M39+": "" }*/
1,228
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `app_all` ( `app_id` INTEGER NOT NULL, PRIMARY KEY (`app_id`) ) /* 1 example row: SELECT * FROM app_all LIMIT 1; app_id -9223281467940916832 */ /* column definitions { "app_id": "" }*/ CREATE TABLE `app_events` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER NOT NULL, `is_active` INTEGER NOT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "the id of events", "app_id": "the id of app users", "is_installed": "whether this app is installed or not", "is_active": "whether this user is active or not" }*/ CREATE TABLE `app_events_relevant` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER DEFAULT NULL, `is_active` INTEGER DEFAULT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events_relevant` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events_relevant LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "", "app_id": "", "is_installed": "", "is_active": "" }*/ CREATE TABLE `app_labels` ( `app_id` INTEGER NOT NULL, `label_id` INTEGER NOT NULL, FOREIGN KEY (`label_id`) REFERENCES `label_categories` (`label_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_labels LIMIT 1; app_id ||label_id 7324884708820027918 || 251 */ /* column definitions { "app_id": "id of the app user", "label_id": "id of labels represents which behavior category that each user belongs to " }*/ CREATE TABLE `events` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME DEFAULT NULL, `longitude` REAL DEFAULT NULL, `latitude` REAL DEFAULT NULL, PRIMARY KEY (`event_id`) ) /* 1 example row: SELECT * FROM events LIMIT 1; event_id || device_id || timestamp ||longitude ||latitude 1 ||29182687948017175 ||2016-05-01 00:55:25.0 || 121.0 || 31.0 */ /* column definitions { "event_id": "unique id number referring to the event", "device_id": "id number referring the device", "timestamp": "the time of the event", "longitude": "longitude ", "latitude": "latitude" }*/ CREATE TABLE `events_relevant` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME NOT NULL, `longitude` REAL NOT NULL, `latitude` REAL NOT NULL, PRIMARY KEY (`event_id`), FOREIGN KEY (`device_id`) REFERENCES `gender_age` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM events_relevant LIMIT 1; event_id ||device_id || timestamp ||longitude ||latitude 2 || None ||-8942695423876075857 || 1.0 || 0.0 */ /* column definitions { "event_id": "", "device_id": "", "timestamp": "", "longitude": "", "latitude": "" }*/ CREATE TABLE `gender_age` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`), FOREIGN KEY (`device_id`) REFERENCES `phone_brand_device_model2` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM gender_age LIMIT 1; device_id ||gender ||age || group -9221086586254644858 || M || 29 ||M29-31 */ /* column definitions { "device_id": "unique number of devices", "gender": "gender of the user who uses this device", "age": "age of the user who uses this device", "group": "group of the ages" }*/ CREATE TABLE `gender_age_test` ( `device_id` INTEGER NOT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_test LIMIT 1; device_id -9223321966609553846 */ /* column definitions { "device_id": "" }*/ CREATE TABLE `gender_age_train` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_train LIMIT 1; device_id ||gender ||age || group -9223067244542181226 || M || 24 ||M23-26 */ /* column definitions { "device_id": "", "gender": "", "age": "", "group": "" }*/ CREATE TABLE `label_categories` ( `label_id` INTEGER NOT NULL, `category` TEXT DEFAULT NULL, PRIMARY KEY (`label_id`) ) /* 1 example row: SELECT * FROM label_categories LIMIT 1; label_id ||category 1 || None */ /* column definitions { "label_id": "unique id of label", "category": "category of the label" }*/ CREATE TABLE `phone_brand_device_model2` ( `device_id` INTEGER NOT NULL, `phone_brand` TEXT NOT NULL, `device_model` TEXT NOT NULL, PRIMARY KEY (`device_id`,`phone_brand`,`device_model`) ) /* 1 example row: SELECT * FROM phone_brand_device_model2 LIMIT 1; device_id ||phone_brand ||device_model -9223321966609553846 || 小米 || 红米note */ /* column definitions { "device_id": "the id number of the device", "phone_brand": "phone brand", "device_model": "device model" }*/ CREATE TABLE `sample_submission` ( `device_id` INTEGER NOT NULL, `F23-` REAL DEFAULT NULL, `F24-26` REAL DEFAULT NULL, `F27-28` REAL DEFAULT NULL, `F29-32` REAL DEFAULT NULL, `F33-42` REAL DEFAULT NULL, `F43+` REAL DEFAULT NULL, `M22-` REAL DEFAULT NULL, `M23-26` REAL DEFAULT NULL, `M27-28` REAL DEFAULT NULL, `M29-31` REAL DEFAULT NULL, `M32-38` REAL DEFAULT NULL, `M39+` REAL DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM sample_submission LIMIT 1; device_id || F23- ||F24-26 ||F27-28 ||F29-32 ||F33-42 || F43+ || M22- ||M23-26 ||M27-28 ||M29-31 ||M32-38 || M39+ -9223321966609553846 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 */ /* column definitions { "device_id": "", "F23-": "", "F24-26": "", "F27-28": "", "F29-32": "", "F33-42": "", "F43+": "", "M22-": "", "M23-26": "", "M27-28": "", "M29-31": "", "M32-38": "", "M39+": "" }*/ ### Question What is the age and gender of the person who uses the device number 29182687948017100 on event number 1? Clarification: device number refers to device_id; device_id = 29182687948017100; event number refers to event_id; and event_id = 1;
[query_database(**{'query': 'SELECT T1.age, T1.gender FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.device_id = 29182687948017100 AND T2.event_id = 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `app_all` ( `app_id` INTEGER NOT NULL, PRIMARY KEY (`app_id`) ) /* 1 example row: SELECT * FROM app_all LIMIT 1; app_id -9223281467940916832 */ /* column definitions { "app_id": "" }*/ CREATE TABLE `app_events` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER NOT NULL, `is_active` INTEGER NOT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "the id of events", "app_id": "the id of app users", "is_installed": "whether this app is installed or not", "is_active": "whether this user is active or not" }*/ CREATE TABLE `app_events_relevant` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER DEFAULT NULL, `is_active` INTEGER DEFAULT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events_relevant` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events_relevant LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "", "app_id": "", "is_installed": "", "is_active": "" }*/ CREATE TABLE `app_labels` ( `app_id` INTEGER NOT NULL, `label_id` INTEGER NOT NULL, FOREIGN KEY (`label_id`) REFERENCES `label_categories` (`label_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_labels LIMIT 1; app_id ||label_id 7324884708820027918 || 251 */ /* column definitions { "app_id": "id of the app user", "label_id": "id of labels represents which behavior category that each user belongs to " }*/ CREATE TABLE `events` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME DEFAULT NULL, `longitude` REAL DEFAULT NULL, `latitude` REAL DEFAULT NULL, PRIMARY KEY (`event_id`) ) /* 1 example row: SELECT * FROM events LIMIT 1; event_id || device_id || timestamp ||longitude ||latitude 1 ||29182687948017175 ||2016-05-01 00:55:25.0 || 121.0 || 31.0 */ /* column definitions { "event_id": "unique id number referring to the event", "device_id": "id number referring the device", "timestamp": "the time of the event", "longitude": "longitude ", "latitude": "latitude" }*/ CREATE TABLE `events_relevant` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME NOT NULL, `longitude` REAL NOT NULL, `latitude` REAL NOT NULL, PRIMARY KEY (`event_id`), FOREIGN KEY (`device_id`) REFERENCES `gender_age` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM events_relevant LIMIT 1; event_id ||device_id || timestamp ||longitude ||latitude 2 || None ||-8942695423876075857 || 1.0 || 0.0 */ /* column definitions { "event_id": "", "device_id": "", "timestamp": "", "longitude": "", "latitude": "" }*/ CREATE TABLE `gender_age` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`), FOREIGN KEY (`device_id`) REFERENCES `phone_brand_device_model2` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM gender_age LIMIT 1; device_id ||gender ||age || group -9221086586254644858 || M || 29 ||M29-31 */ /* column definitions { "device_id": "unique number of devices", "gender": "gender of the user who uses this device", "age": "age of the user who uses this device", "group": "group of the ages" }*/ CREATE TABLE `gender_age_test` ( `device_id` INTEGER NOT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_test LIMIT 1; device_id -9223321966609553846 */ /* column definitions { "device_id": "" }*/ CREATE TABLE `gender_age_train` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_train LIMIT 1; device_id ||gender ||age || group -9223067244542181226 || M || 24 ||M23-26 */ /* column definitions { "device_id": "", "gender": "", "age": "", "group": "" }*/ CREATE TABLE `label_categories` ( `label_id` INTEGER NOT NULL, `category` TEXT DEFAULT NULL, PRIMARY KEY (`label_id`) ) /* 1 example row: SELECT * FROM label_categories LIMIT 1; label_id ||category 1 || None */ /* column definitions { "label_id": "unique id of label", "category": "category of the label" }*/ CREATE TABLE `phone_brand_device_model2` ( `device_id` INTEGER NOT NULL, `phone_brand` TEXT NOT NULL, `device_model` TEXT NOT NULL, PRIMARY KEY (`device_id`,`phone_brand`,`device_model`) ) /* 1 example row: SELECT * FROM phone_brand_device_model2 LIMIT 1; device_id ||phone_brand ||device_model -9223321966609553846 || 小米 || 红米note */ /* column definitions { "device_id": "the id number of the device", "phone_brand": "phone brand", "device_model": "device model" }*/ CREATE TABLE `sample_submission` ( `device_id` INTEGER NOT NULL, `F23-` REAL DEFAULT NULL, `F24-26` REAL DEFAULT NULL, `F27-28` REAL DEFAULT NULL, `F29-32` REAL DEFAULT NULL, `F33-42` REAL DEFAULT NULL, `F43+` REAL DEFAULT NULL, `M22-` REAL DEFAULT NULL, `M23-26` REAL DEFAULT NULL, `M27-28` REAL DEFAULT NULL, `M29-31` REAL DEFAULT NULL, `M32-38` REAL DEFAULT NULL, `M39+` REAL DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM sample_submission LIMIT 1; device_id || F23- ||F24-26 ||F27-28 ||F29-32 ||F33-42 || F43+ || M22- ||M23-26 ||M27-28 ||M29-31 ||M32-38 || M39+ -9223321966609553846 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 */ /* column definitions { "device_id": "", "F23-": "", "F24-26": "", "F27-28": "", "F29-32": "", "F33-42": "", "F43+": "", "M22-": "", "M23-26": "", "M27-28": "", "M29-31": "", "M32-38": "", "M39+": "" }*/
1,232
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `app_all` ( `app_id` INTEGER NOT NULL, PRIMARY KEY (`app_id`) ) /* 1 example row: SELECT * FROM app_all LIMIT 1; app_id -9223281467940916832 */ /* column definitions { "app_id": "" }*/ CREATE TABLE `app_events` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER NOT NULL, `is_active` INTEGER NOT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "the id of events", "app_id": "the id of app users", "is_installed": "whether this app is installed or not", "is_active": "whether this user is active or not" }*/ CREATE TABLE `app_events_relevant` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER DEFAULT NULL, `is_active` INTEGER DEFAULT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events_relevant` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events_relevant LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "", "app_id": "", "is_installed": "", "is_active": "" }*/ CREATE TABLE `app_labels` ( `app_id` INTEGER NOT NULL, `label_id` INTEGER NOT NULL, FOREIGN KEY (`label_id`) REFERENCES `label_categories` (`label_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_labels LIMIT 1; app_id ||label_id 7324884708820027918 || 251 */ /* column definitions { "app_id": "id of the app user", "label_id": "id of labels represents which behavior category that each user belongs to " }*/ CREATE TABLE `events` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME DEFAULT NULL, `longitude` REAL DEFAULT NULL, `latitude` REAL DEFAULT NULL, PRIMARY KEY (`event_id`) ) /* 1 example row: SELECT * FROM events LIMIT 1; event_id || device_id || timestamp ||longitude ||latitude 1 ||29182687948017175 ||2016-05-01 00:55:25.0 || 121.0 || 31.0 */ /* column definitions { "event_id": "unique id number referring to the event", "device_id": "id number referring the device", "timestamp": "the time of the event", "longitude": "longitude ", "latitude": "latitude" }*/ CREATE TABLE `events_relevant` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME NOT NULL, `longitude` REAL NOT NULL, `latitude` REAL NOT NULL, PRIMARY KEY (`event_id`), FOREIGN KEY (`device_id`) REFERENCES `gender_age` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM events_relevant LIMIT 1; event_id ||device_id || timestamp ||longitude ||latitude 2 || None ||-8942695423876075857 || 1.0 || 0.0 */ /* column definitions { "event_id": "", "device_id": "", "timestamp": "", "longitude": "", "latitude": "" }*/ CREATE TABLE `gender_age` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`), FOREIGN KEY (`device_id`) REFERENCES `phone_brand_device_model2` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM gender_age LIMIT 1; device_id ||gender ||age || group -9221086586254644858 || M || 29 ||M29-31 */ /* column definitions { "device_id": "unique number of devices", "gender": "gender of the user who uses this device", "age": "age of the user who uses this device", "group": "group of the ages" }*/ CREATE TABLE `gender_age_test` ( `device_id` INTEGER NOT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_test LIMIT 1; device_id -9223321966609553846 */ /* column definitions { "device_id": "" }*/ CREATE TABLE `gender_age_train` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_train LIMIT 1; device_id ||gender ||age || group -9223067244542181226 || M || 24 ||M23-26 */ /* column definitions { "device_id": "", "gender": "", "age": "", "group": "" }*/ CREATE TABLE `label_categories` ( `label_id` INTEGER NOT NULL, `category` TEXT DEFAULT NULL, PRIMARY KEY (`label_id`) ) /* 1 example row: SELECT * FROM label_categories LIMIT 1; label_id ||category 1 || None */ /* column definitions { "label_id": "unique id of label", "category": "category of the label" }*/ CREATE TABLE `phone_brand_device_model2` ( `device_id` INTEGER NOT NULL, `phone_brand` TEXT NOT NULL, `device_model` TEXT NOT NULL, PRIMARY KEY (`device_id`,`phone_brand`,`device_model`) ) /* 1 example row: SELECT * FROM phone_brand_device_model2 LIMIT 1; device_id ||phone_brand ||device_model -9223321966609553846 || 小米 || 红米note */ /* column definitions { "device_id": "the id number of the device", "phone_brand": "phone brand", "device_model": "device model" }*/ CREATE TABLE `sample_submission` ( `device_id` INTEGER NOT NULL, `F23-` REAL DEFAULT NULL, `F24-26` REAL DEFAULT NULL, `F27-28` REAL DEFAULT NULL, `F29-32` REAL DEFAULT NULL, `F33-42` REAL DEFAULT NULL, `F43+` REAL DEFAULT NULL, `M22-` REAL DEFAULT NULL, `M23-26` REAL DEFAULT NULL, `M27-28` REAL DEFAULT NULL, `M29-31` REAL DEFAULT NULL, `M32-38` REAL DEFAULT NULL, `M39+` REAL DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM sample_submission LIMIT 1; device_id || F23- ||F24-26 ||F27-28 ||F29-32 ||F33-42 || F43+ || M22- ||M23-26 ||M27-28 ||M29-31 ||M32-38 || M39+ -9223321966609553846 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 */ /* column definitions { "device_id": "", "F23-": "", "F24-26": "", "F27-28": "", "F29-32": "", "F33-42": "", "F43+": "", "M22-": "", "M23-26": "", "M27-28": "", "M29-31": "", "M32-38": "", "M39+": "" }*/ ### Question Please provide the age group of any LG Nexus 4 device users. Clarification: age group refers to `group`; LG Nexus 4 refers to phone_brand = 'LG' AND device_model = 'Nexus 4';
[query_database(**{'query': 'SELECT T1.`group` FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'LG' AND T2.device_model = 'Nexus 4''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `app_all` ( `app_id` INTEGER NOT NULL, PRIMARY KEY (`app_id`) ) /* 1 example row: SELECT * FROM app_all LIMIT 1; app_id -9223281467940916832 */ /* column definitions { "app_id": "" }*/ CREATE TABLE `app_events` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER NOT NULL, `is_active` INTEGER NOT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "the id of events", "app_id": "the id of app users", "is_installed": "whether this app is installed or not", "is_active": "whether this user is active or not" }*/ CREATE TABLE `app_events_relevant` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER DEFAULT NULL, `is_active` INTEGER DEFAULT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events_relevant` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events_relevant LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "", "app_id": "", "is_installed": "", "is_active": "" }*/ CREATE TABLE `app_labels` ( `app_id` INTEGER NOT NULL, `label_id` INTEGER NOT NULL, FOREIGN KEY (`label_id`) REFERENCES `label_categories` (`label_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_labels LIMIT 1; app_id ||label_id 7324884708820027918 || 251 */ /* column definitions { "app_id": "id of the app user", "label_id": "id of labels represents which behavior category that each user belongs to " }*/ CREATE TABLE `events` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME DEFAULT NULL, `longitude` REAL DEFAULT NULL, `latitude` REAL DEFAULT NULL, PRIMARY KEY (`event_id`) ) /* 1 example row: SELECT * FROM events LIMIT 1; event_id || device_id || timestamp ||longitude ||latitude 1 ||29182687948017175 ||2016-05-01 00:55:25.0 || 121.0 || 31.0 */ /* column definitions { "event_id": "unique id number referring to the event", "device_id": "id number referring the device", "timestamp": "the time of the event", "longitude": "longitude ", "latitude": "latitude" }*/ CREATE TABLE `events_relevant` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME NOT NULL, `longitude` REAL NOT NULL, `latitude` REAL NOT NULL, PRIMARY KEY (`event_id`), FOREIGN KEY (`device_id`) REFERENCES `gender_age` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM events_relevant LIMIT 1; event_id ||device_id || timestamp ||longitude ||latitude 2 || None ||-8942695423876075857 || 1.0 || 0.0 */ /* column definitions { "event_id": "", "device_id": "", "timestamp": "", "longitude": "", "latitude": "" }*/ CREATE TABLE `gender_age` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`), FOREIGN KEY (`device_id`) REFERENCES `phone_brand_device_model2` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM gender_age LIMIT 1; device_id ||gender ||age || group -9221086586254644858 || M || 29 ||M29-31 */ /* column definitions { "device_id": "unique number of devices", "gender": "gender of the user who uses this device", "age": "age of the user who uses this device", "group": "group of the ages" }*/ CREATE TABLE `gender_age_test` ( `device_id` INTEGER NOT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_test LIMIT 1; device_id -9223321966609553846 */ /* column definitions { "device_id": "" }*/ CREATE TABLE `gender_age_train` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_train LIMIT 1; device_id ||gender ||age || group -9223067244542181226 || M || 24 ||M23-26 */ /* column definitions { "device_id": "", "gender": "", "age": "", "group": "" }*/ CREATE TABLE `label_categories` ( `label_id` INTEGER NOT NULL, `category` TEXT DEFAULT NULL, PRIMARY KEY (`label_id`) ) /* 1 example row: SELECT * FROM label_categories LIMIT 1; label_id ||category 1 || None */ /* column definitions { "label_id": "unique id of label", "category": "category of the label" }*/ CREATE TABLE `phone_brand_device_model2` ( `device_id` INTEGER NOT NULL, `phone_brand` TEXT NOT NULL, `device_model` TEXT NOT NULL, PRIMARY KEY (`device_id`,`phone_brand`,`device_model`) ) /* 1 example row: SELECT * FROM phone_brand_device_model2 LIMIT 1; device_id ||phone_brand ||device_model -9223321966609553846 || 小米 || 红米note */ /* column definitions { "device_id": "the id number of the device", "phone_brand": "phone brand", "device_model": "device model" }*/ CREATE TABLE `sample_submission` ( `device_id` INTEGER NOT NULL, `F23-` REAL DEFAULT NULL, `F24-26` REAL DEFAULT NULL, `F27-28` REAL DEFAULT NULL, `F29-32` REAL DEFAULT NULL, `F33-42` REAL DEFAULT NULL, `F43+` REAL DEFAULT NULL, `M22-` REAL DEFAULT NULL, `M23-26` REAL DEFAULT NULL, `M27-28` REAL DEFAULT NULL, `M29-31` REAL DEFAULT NULL, `M32-38` REAL DEFAULT NULL, `M39+` REAL DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM sample_submission LIMIT 1; device_id || F23- ||F24-26 ||F27-28 ||F29-32 ||F33-42 || F43+ || M22- ||M23-26 ||M27-28 ||M29-31 ||M32-38 || M39+ -9223321966609553846 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 */ /* column definitions { "device_id": "", "F23-": "", "F24-26": "", "F27-28": "", "F29-32": "", "F33-42": "", "F43+": "", "M22-": "", "M23-26": "", "M27-28": "", "M29-31": "", "M32-38": "", "M39+": "" }*/
1,236
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `app_all` ( `app_id` INTEGER NOT NULL, PRIMARY KEY (`app_id`) ) /* 1 example row: SELECT * FROM app_all LIMIT 1; app_id -9223281467940916832 */ /* column definitions { "app_id": "" }*/ CREATE TABLE `app_events` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER NOT NULL, `is_active` INTEGER NOT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "the id of events", "app_id": "the id of app users", "is_installed": "whether this app is installed or not", "is_active": "whether this user is active or not" }*/ CREATE TABLE `app_events_relevant` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER DEFAULT NULL, `is_active` INTEGER DEFAULT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events_relevant` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events_relevant LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "", "app_id": "", "is_installed": "", "is_active": "" }*/ CREATE TABLE `app_labels` ( `app_id` INTEGER NOT NULL, `label_id` INTEGER NOT NULL, FOREIGN KEY (`label_id`) REFERENCES `label_categories` (`label_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_labels LIMIT 1; app_id ||label_id 7324884708820027918 || 251 */ /* column definitions { "app_id": "id of the app user", "label_id": "id of labels represents which behavior category that each user belongs to " }*/ CREATE TABLE `events` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME DEFAULT NULL, `longitude` REAL DEFAULT NULL, `latitude` REAL DEFAULT NULL, PRIMARY KEY (`event_id`) ) /* 1 example row: SELECT * FROM events LIMIT 1; event_id || device_id || timestamp ||longitude ||latitude 1 ||29182687948017175 ||2016-05-01 00:55:25.0 || 121.0 || 31.0 */ /* column definitions { "event_id": "unique id number referring to the event", "device_id": "id number referring the device", "timestamp": "the time of the event", "longitude": "longitude ", "latitude": "latitude" }*/ CREATE TABLE `events_relevant` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME NOT NULL, `longitude` REAL NOT NULL, `latitude` REAL NOT NULL, PRIMARY KEY (`event_id`), FOREIGN KEY (`device_id`) REFERENCES `gender_age` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM events_relevant LIMIT 1; event_id ||device_id || timestamp ||longitude ||latitude 2 || None ||-8942695423876075857 || 1.0 || 0.0 */ /* column definitions { "event_id": "", "device_id": "", "timestamp": "", "longitude": "", "latitude": "" }*/ CREATE TABLE `gender_age` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`), FOREIGN KEY (`device_id`) REFERENCES `phone_brand_device_model2` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM gender_age LIMIT 1; device_id ||gender ||age || group -9221086586254644858 || M || 29 ||M29-31 */ /* column definitions { "device_id": "unique number of devices", "gender": "gender of the user who uses this device", "age": "age of the user who uses this device", "group": "group of the ages" }*/ CREATE TABLE `gender_age_test` ( `device_id` INTEGER NOT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_test LIMIT 1; device_id -9223321966609553846 */ /* column definitions { "device_id": "" }*/ CREATE TABLE `gender_age_train` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_train LIMIT 1; device_id ||gender ||age || group -9223067244542181226 || M || 24 ||M23-26 */ /* column definitions { "device_id": "", "gender": "", "age": "", "group": "" }*/ CREATE TABLE `label_categories` ( `label_id` INTEGER NOT NULL, `category` TEXT DEFAULT NULL, PRIMARY KEY (`label_id`) ) /* 1 example row: SELECT * FROM label_categories LIMIT 1; label_id ||category 1 || None */ /* column definitions { "label_id": "unique id of label", "category": "category of the label" }*/ CREATE TABLE `phone_brand_device_model2` ( `device_id` INTEGER NOT NULL, `phone_brand` TEXT NOT NULL, `device_model` TEXT NOT NULL, PRIMARY KEY (`device_id`,`phone_brand`,`device_model`) ) /* 1 example row: SELECT * FROM phone_brand_device_model2 LIMIT 1; device_id ||phone_brand ||device_model -9223321966609553846 || 小米 || 红米note */ /* column definitions { "device_id": "the id number of the device", "phone_brand": "phone brand", "device_model": "device model" }*/ CREATE TABLE `sample_submission` ( `device_id` INTEGER NOT NULL, `F23-` REAL DEFAULT NULL, `F24-26` REAL DEFAULT NULL, `F27-28` REAL DEFAULT NULL, `F29-32` REAL DEFAULT NULL, `F33-42` REAL DEFAULT NULL, `F43+` REAL DEFAULT NULL, `M22-` REAL DEFAULT NULL, `M23-26` REAL DEFAULT NULL, `M27-28` REAL DEFAULT NULL, `M29-31` REAL DEFAULT NULL, `M32-38` REAL DEFAULT NULL, `M39+` REAL DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM sample_submission LIMIT 1; device_id || F23- ||F24-26 ||F27-28 ||F29-32 ||F33-42 || F43+ || M22- ||M23-26 ||M27-28 ||M29-31 ||M32-38 || M39+ -9223321966609553846 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 */ /* column definitions { "device_id": "", "F23-": "", "F24-26": "", "F27-28": "", "F29-32": "", "F33-42": "", "F43+": "", "M22-": "", "M23-26": "", "M27-28": "", "M29-31": "", "M32-38": "", "M39+": "" }*/ ### Question How many OPPO devices are there? Clarification: OPPO devices refers to phone_brand = 'OPPO';
[query_database(**{'query': 'SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `app_all` ( `app_id` INTEGER NOT NULL, PRIMARY KEY (`app_id`) ) /* 1 example row: SELECT * FROM app_all LIMIT 1; app_id -9223281467940916832 */ /* column definitions { "app_id": "" }*/ CREATE TABLE `app_events` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER NOT NULL, `is_active` INTEGER NOT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "the id of events", "app_id": "the id of app users", "is_installed": "whether this app is installed or not", "is_active": "whether this user is active or not" }*/ CREATE TABLE `app_events_relevant` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER DEFAULT NULL, `is_active` INTEGER DEFAULT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events_relevant` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events_relevant LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "", "app_id": "", "is_installed": "", "is_active": "" }*/ CREATE TABLE `app_labels` ( `app_id` INTEGER NOT NULL, `label_id` INTEGER NOT NULL, FOREIGN KEY (`label_id`) REFERENCES `label_categories` (`label_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_labels LIMIT 1; app_id ||label_id 7324884708820027918 || 251 */ /* column definitions { "app_id": "id of the app user", "label_id": "id of labels represents which behavior category that each user belongs to " }*/ CREATE TABLE `events` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME DEFAULT NULL, `longitude` REAL DEFAULT NULL, `latitude` REAL DEFAULT NULL, PRIMARY KEY (`event_id`) ) /* 1 example row: SELECT * FROM events LIMIT 1; event_id || device_id || timestamp ||longitude ||latitude 1 ||29182687948017175 ||2016-05-01 00:55:25.0 || 121.0 || 31.0 */ /* column definitions { "event_id": "unique id number referring to the event", "device_id": "id number referring the device", "timestamp": "the time of the event", "longitude": "longitude ", "latitude": "latitude" }*/ CREATE TABLE `events_relevant` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME NOT NULL, `longitude` REAL NOT NULL, `latitude` REAL NOT NULL, PRIMARY KEY (`event_id`), FOREIGN KEY (`device_id`) REFERENCES `gender_age` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM events_relevant LIMIT 1; event_id ||device_id || timestamp ||longitude ||latitude 2 || None ||-8942695423876075857 || 1.0 || 0.0 */ /* column definitions { "event_id": "", "device_id": "", "timestamp": "", "longitude": "", "latitude": "" }*/ CREATE TABLE `gender_age` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`), FOREIGN KEY (`device_id`) REFERENCES `phone_brand_device_model2` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM gender_age LIMIT 1; device_id ||gender ||age || group -9221086586254644858 || M || 29 ||M29-31 */ /* column definitions { "device_id": "unique number of devices", "gender": "gender of the user who uses this device", "age": "age of the user who uses this device", "group": "group of the ages" }*/ CREATE TABLE `gender_age_test` ( `device_id` INTEGER NOT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_test LIMIT 1; device_id -9223321966609553846 */ /* column definitions { "device_id": "" }*/ CREATE TABLE `gender_age_train` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_train LIMIT 1; device_id ||gender ||age || group -9223067244542181226 || M || 24 ||M23-26 */ /* column definitions { "device_id": "", "gender": "", "age": "", "group": "" }*/ CREATE TABLE `label_categories` ( `label_id` INTEGER NOT NULL, `category` TEXT DEFAULT NULL, PRIMARY KEY (`label_id`) ) /* 1 example row: SELECT * FROM label_categories LIMIT 1; label_id ||category 1 || None */ /* column definitions { "label_id": "unique id of label", "category": "category of the label" }*/ CREATE TABLE `phone_brand_device_model2` ( `device_id` INTEGER NOT NULL, `phone_brand` TEXT NOT NULL, `device_model` TEXT NOT NULL, PRIMARY KEY (`device_id`,`phone_brand`,`device_model`) ) /* 1 example row: SELECT * FROM phone_brand_device_model2 LIMIT 1; device_id ||phone_brand ||device_model -9223321966609553846 || 小米 || 红米note */ /* column definitions { "device_id": "the id number of the device", "phone_brand": "phone brand", "device_model": "device model" }*/ CREATE TABLE `sample_submission` ( `device_id` INTEGER NOT NULL, `F23-` REAL DEFAULT NULL, `F24-26` REAL DEFAULT NULL, `F27-28` REAL DEFAULT NULL, `F29-32` REAL DEFAULT NULL, `F33-42` REAL DEFAULT NULL, `F43+` REAL DEFAULT NULL, `M22-` REAL DEFAULT NULL, `M23-26` REAL DEFAULT NULL, `M27-28` REAL DEFAULT NULL, `M29-31` REAL DEFAULT NULL, `M32-38` REAL DEFAULT NULL, `M39+` REAL DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM sample_submission LIMIT 1; device_id || F23- ||F24-26 ||F27-28 ||F29-32 ||F33-42 || F43+ || M22- ||M23-26 ||M27-28 ||M29-31 ||M32-38 || M39+ -9223321966609553846 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 */ /* column definitions { "device_id": "", "F23-": "", "F24-26": "", "F27-28": "", "F29-32": "", "F33-42": "", "F43+": "", "M22-": "", "M23-26": "", "M27-28": "", "M29-31": "", "M32-38": "", "M39+": "" }*/
1,239
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `app_all` ( `app_id` INTEGER NOT NULL, PRIMARY KEY (`app_id`) ) /* 1 example row: SELECT * FROM app_all LIMIT 1; app_id -9223281467940916832 */ /* column definitions { "app_id": "" }*/ CREATE TABLE `app_events` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER NOT NULL, `is_active` INTEGER NOT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "the id of events", "app_id": "the id of app users", "is_installed": "whether this app is installed or not", "is_active": "whether this user is active or not" }*/ CREATE TABLE `app_events_relevant` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER DEFAULT NULL, `is_active` INTEGER DEFAULT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events_relevant` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events_relevant LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "", "app_id": "", "is_installed": "", "is_active": "" }*/ CREATE TABLE `app_labels` ( `app_id` INTEGER NOT NULL, `label_id` INTEGER NOT NULL, FOREIGN KEY (`label_id`) REFERENCES `label_categories` (`label_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_labels LIMIT 1; app_id ||label_id 7324884708820027918 || 251 */ /* column definitions { "app_id": "id of the app user", "label_id": "id of labels represents which behavior category that each user belongs to " }*/ CREATE TABLE `events` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME DEFAULT NULL, `longitude` REAL DEFAULT NULL, `latitude` REAL DEFAULT NULL, PRIMARY KEY (`event_id`) ) /* 1 example row: SELECT * FROM events LIMIT 1; event_id || device_id || timestamp ||longitude ||latitude 1 ||29182687948017175 ||2016-05-01 00:55:25.0 || 121.0 || 31.0 */ /* column definitions { "event_id": "unique id number referring to the event", "device_id": "id number referring the device", "timestamp": "the time of the event", "longitude": "longitude ", "latitude": "latitude" }*/ CREATE TABLE `events_relevant` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME NOT NULL, `longitude` REAL NOT NULL, `latitude` REAL NOT NULL, PRIMARY KEY (`event_id`), FOREIGN KEY (`device_id`) REFERENCES `gender_age` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM events_relevant LIMIT 1; event_id ||device_id || timestamp ||longitude ||latitude 2 || None ||-8942695423876075857 || 1.0 || 0.0 */ /* column definitions { "event_id": "", "device_id": "", "timestamp": "", "longitude": "", "latitude": "" }*/ CREATE TABLE `gender_age` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`), FOREIGN KEY (`device_id`) REFERENCES `phone_brand_device_model2` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM gender_age LIMIT 1; device_id ||gender ||age || group -9221086586254644858 || M || 29 ||M29-31 */ /* column definitions { "device_id": "unique number of devices", "gender": "gender of the user who uses this device", "age": "age of the user who uses this device", "group": "group of the ages" }*/ CREATE TABLE `gender_age_test` ( `device_id` INTEGER NOT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_test LIMIT 1; device_id -9223321966609553846 */ /* column definitions { "device_id": "" }*/ CREATE TABLE `gender_age_train` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_train LIMIT 1; device_id ||gender ||age || group -9223067244542181226 || M || 24 ||M23-26 */ /* column definitions { "device_id": "", "gender": "", "age": "", "group": "" }*/ CREATE TABLE `label_categories` ( `label_id` INTEGER NOT NULL, `category` TEXT DEFAULT NULL, PRIMARY KEY (`label_id`) ) /* 1 example row: SELECT * FROM label_categories LIMIT 1; label_id ||category 1 || None */ /* column definitions { "label_id": "unique id of label", "category": "category of the label" }*/ CREATE TABLE `phone_brand_device_model2` ( `device_id` INTEGER NOT NULL, `phone_brand` TEXT NOT NULL, `device_model` TEXT NOT NULL, PRIMARY KEY (`device_id`,`phone_brand`,`device_model`) ) /* 1 example row: SELECT * FROM phone_brand_device_model2 LIMIT 1; device_id ||phone_brand ||device_model -9223321966609553846 || 小米 || 红米note */ /* column definitions { "device_id": "the id number of the device", "phone_brand": "phone brand", "device_model": "device model" }*/ CREATE TABLE `sample_submission` ( `device_id` INTEGER NOT NULL, `F23-` REAL DEFAULT NULL, `F24-26` REAL DEFAULT NULL, `F27-28` REAL DEFAULT NULL, `F29-32` REAL DEFAULT NULL, `F33-42` REAL DEFAULT NULL, `F43+` REAL DEFAULT NULL, `M22-` REAL DEFAULT NULL, `M23-26` REAL DEFAULT NULL, `M27-28` REAL DEFAULT NULL, `M29-31` REAL DEFAULT NULL, `M32-38` REAL DEFAULT NULL, `M39+` REAL DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM sample_submission LIMIT 1; device_id || F23- ||F24-26 ||F27-28 ||F29-32 ||F33-42 || F43+ || M22- ||M23-26 ||M27-28 ||M29-31 ||M32-38 || M39+ -9223321966609553846 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 */ /* column definitions { "device_id": "", "F23-": "", "F24-26": "", "F27-28": "", "F29-32": "", "F33-42": "", "F43+": "", "M22-": "", "M23-26": "", "M27-28": "", "M29-31": "", "M32-38": "", "M39+": "" }*/ ### Question How many of the apps belong in the "Equity Fund" category? Clarification:
[query_database(**{'query': 'SELECT COUNT(T1.app_id) FROM app_labels AS T1 INNER JOIN label_categories AS T2 ON T1.label_id = T2.label_id WHERE T2.category = 'Equity Fund''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `app_all` ( `app_id` INTEGER NOT NULL, PRIMARY KEY (`app_id`) ) /* 1 example row: SELECT * FROM app_all LIMIT 1; app_id -9223281467940916832 */ /* column definitions { "app_id": "" }*/ CREATE TABLE `app_events` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER NOT NULL, `is_active` INTEGER NOT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "the id of events", "app_id": "the id of app users", "is_installed": "whether this app is installed or not", "is_active": "whether this user is active or not" }*/ CREATE TABLE `app_events_relevant` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER DEFAULT NULL, `is_active` INTEGER DEFAULT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events_relevant` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events_relevant LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "", "app_id": "", "is_installed": "", "is_active": "" }*/ CREATE TABLE `app_labels` ( `app_id` INTEGER NOT NULL, `label_id` INTEGER NOT NULL, FOREIGN KEY (`label_id`) REFERENCES `label_categories` (`label_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_labels LIMIT 1; app_id ||label_id 7324884708820027918 || 251 */ /* column definitions { "app_id": "id of the app user", "label_id": "id of labels represents which behavior category that each user belongs to " }*/ CREATE TABLE `events` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME DEFAULT NULL, `longitude` REAL DEFAULT NULL, `latitude` REAL DEFAULT NULL, PRIMARY KEY (`event_id`) ) /* 1 example row: SELECT * FROM events LIMIT 1; event_id || device_id || timestamp ||longitude ||latitude 1 ||29182687948017175 ||2016-05-01 00:55:25.0 || 121.0 || 31.0 */ /* column definitions { "event_id": "unique id number referring to the event", "device_id": "id number referring the device", "timestamp": "the time of the event", "longitude": "longitude ", "latitude": "latitude" }*/ CREATE TABLE `events_relevant` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME NOT NULL, `longitude` REAL NOT NULL, `latitude` REAL NOT NULL, PRIMARY KEY (`event_id`), FOREIGN KEY (`device_id`) REFERENCES `gender_age` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM events_relevant LIMIT 1; event_id ||device_id || timestamp ||longitude ||latitude 2 || None ||-8942695423876075857 || 1.0 || 0.0 */ /* column definitions { "event_id": "", "device_id": "", "timestamp": "", "longitude": "", "latitude": "" }*/ CREATE TABLE `gender_age` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`), FOREIGN KEY (`device_id`) REFERENCES `phone_brand_device_model2` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM gender_age LIMIT 1; device_id ||gender ||age || group -9221086586254644858 || M || 29 ||M29-31 */ /* column definitions { "device_id": "unique number of devices", "gender": "gender of the user who uses this device", "age": "age of the user who uses this device", "group": "group of the ages" }*/ CREATE TABLE `gender_age_test` ( `device_id` INTEGER NOT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_test LIMIT 1; device_id -9223321966609553846 */ /* column definitions { "device_id": "" }*/ CREATE TABLE `gender_age_train` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_train LIMIT 1; device_id ||gender ||age || group -9223067244542181226 || M || 24 ||M23-26 */ /* column definitions { "device_id": "", "gender": "", "age": "", "group": "" }*/ CREATE TABLE `label_categories` ( `label_id` INTEGER NOT NULL, `category` TEXT DEFAULT NULL, PRIMARY KEY (`label_id`) ) /* 1 example row: SELECT * FROM label_categories LIMIT 1; label_id ||category 1 || None */ /* column definitions { "label_id": "unique id of label", "category": "category of the label" }*/ CREATE TABLE `phone_brand_device_model2` ( `device_id` INTEGER NOT NULL, `phone_brand` TEXT NOT NULL, `device_model` TEXT NOT NULL, PRIMARY KEY (`device_id`,`phone_brand`,`device_model`) ) /* 1 example row: SELECT * FROM phone_brand_device_model2 LIMIT 1; device_id ||phone_brand ||device_model -9223321966609553846 || 小米 || 红米note */ /* column definitions { "device_id": "the id number of the device", "phone_brand": "phone brand", "device_model": "device model" }*/ CREATE TABLE `sample_submission` ( `device_id` INTEGER NOT NULL, `F23-` REAL DEFAULT NULL, `F24-26` REAL DEFAULT NULL, `F27-28` REAL DEFAULT NULL, `F29-32` REAL DEFAULT NULL, `F33-42` REAL DEFAULT NULL, `F43+` REAL DEFAULT NULL, `M22-` REAL DEFAULT NULL, `M23-26` REAL DEFAULT NULL, `M27-28` REAL DEFAULT NULL, `M29-31` REAL DEFAULT NULL, `M32-38` REAL DEFAULT NULL, `M39+` REAL DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM sample_submission LIMIT 1; device_id || F23- ||F24-26 ||F27-28 ||F29-32 ||F33-42 || F43+ || M22- ||M23-26 ||M27-28 ||M29-31 ||M32-38 || M39+ -9223321966609553846 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 */ /* column definitions { "device_id": "", "F23-": "", "F24-26": "", "F27-28": "", "F29-32": "", "F33-42": "", "F43+": "", "M22-": "", "M23-26": "", "M27-28": "", "M29-31": "", "M32-38": "", "M39+": "" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `app_all` ( `app_id` INTEGER NOT NULL, PRIMARY KEY (`app_id`) ) /* 1 example row: SELECT * FROM app_all LIMIT 1; app_id -9223281467940916832 */ /* column definitions { "app_id": "" }*/ CREATE TABLE `app_events` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER NOT NULL, `is_active` INTEGER NOT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "the id of events", "app_id": "the id of app users", "is_installed": "whether this app is installed or not", "is_active": "whether this user is active or not" }*/ CREATE TABLE `app_events_relevant` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER DEFAULT NULL, `is_active` INTEGER DEFAULT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events_relevant` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events_relevant LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "", "app_id": "", "is_installed": "", "is_active": "" }*/ CREATE TABLE `app_labels` ( `app_id` INTEGER NOT NULL, `label_id` INTEGER NOT NULL, FOREIGN KEY (`label_id`) REFERENCES `label_categories` (`label_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_labels LIMIT 1; app_id ||label_id 7324884708820027918 || 251 */ /* column definitions { "app_id": "id of the app user", "label_id": "id of labels represents which behavior category that each user belongs to " }*/ CREATE TABLE `events` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME DEFAULT NULL, `longitude` REAL DEFAULT NULL, `latitude` REAL DEFAULT NULL, PRIMARY KEY (`event_id`) ) /* 1 example row: SELECT * FROM events LIMIT 1; event_id || device_id || timestamp ||longitude ||latitude 1 ||29182687948017175 ||2016-05-01 00:55:25.0 || 121.0 || 31.0 */ /* column definitions { "event_id": "unique id number referring to the event", "device_id": "id number referring the device", "timestamp": "the time of the event", "longitude": "longitude ", "latitude": "latitude" }*/ CREATE TABLE `events_relevant` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME NOT NULL, `longitude` REAL NOT NULL, `latitude` REAL NOT NULL, PRIMARY KEY (`event_id`), FOREIGN KEY (`device_id`) REFERENCES `gender_age` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM events_relevant LIMIT 1; event_id ||device_id || timestamp ||longitude ||latitude 2 || None ||-8942695423876075857 || 1.0 || 0.0 */ /* column definitions { "event_id": "", "device_id": "", "timestamp": "", "longitude": "", "latitude": "" }*/ CREATE TABLE `gender_age` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`), FOREIGN KEY (`device_id`) REFERENCES `phone_brand_device_model2` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM gender_age LIMIT 1; device_id ||gender ||age || group -9221086586254644858 || M || 29 ||M29-31 */ /* column definitions { "device_id": "unique number of devices", "gender": "gender of the user who uses this device", "age": "age of the user who uses this device", "group": "group of the ages" }*/ CREATE TABLE `gender_age_test` ( `device_id` INTEGER NOT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_test LIMIT 1; device_id -9223321966609553846 */ /* column definitions { "device_id": "" }*/ CREATE TABLE `gender_age_train` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_train LIMIT 1; device_id ||gender ||age || group -9223067244542181226 || M || 24 ||M23-26 */ /* column definitions { "device_id": "", "gender": "", "age": "", "group": "" }*/ CREATE TABLE `label_categories` ( `label_id` INTEGER NOT NULL, `category` TEXT DEFAULT NULL, PRIMARY KEY (`label_id`) ) /* 1 example row: SELECT * FROM label_categories LIMIT 1; label_id ||category 1 || None */ /* column definitions { "label_id": "unique id of label", "category": "category of the label" }*/ CREATE TABLE `phone_brand_device_model2` ( `device_id` INTEGER NOT NULL, `phone_brand` TEXT NOT NULL, `device_model` TEXT NOT NULL, PRIMARY KEY (`device_id`,`phone_brand`,`device_model`) ) /* 1 example row: SELECT * FROM phone_brand_device_model2 LIMIT 1; device_id ||phone_brand ||device_model -9223321966609553846 || 小米 || 红米note */ /* column definitions { "device_id": "the id number of the device", "phone_brand": "phone brand", "device_model": "device model" }*/ CREATE TABLE `sample_submission` ( `device_id` INTEGER NOT NULL, `F23-` REAL DEFAULT NULL, `F24-26` REAL DEFAULT NULL, `F27-28` REAL DEFAULT NULL, `F29-32` REAL DEFAULT NULL, `F33-42` REAL DEFAULT NULL, `F43+` REAL DEFAULT NULL, `M22-` REAL DEFAULT NULL, `M23-26` REAL DEFAULT NULL, `M27-28` REAL DEFAULT NULL, `M29-31` REAL DEFAULT NULL, `M32-38` REAL DEFAULT NULL, `M39+` REAL DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM sample_submission LIMIT 1; device_id || F23- ||F24-26 ||F27-28 ||F29-32 ||F33-42 || F43+ || M22- ||M23-26 ||M27-28 ||M29-31 ||M32-38 || M39+ -9223321966609553846 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 */ /* column definitions { "device_id": "", "F23-": "", "F24-26": "", "F27-28": "", "F29-32": "", "F33-42": "", "F43+": "", "M22-": "", "M23-26": "", "M27-28": "", "M29-31": "", "M32-38": "", "M39+": "" }*/ ### Question Which brand is most common among people in their twenties? Clarification: brand refers to phone_brand; brand that is most common refers to MAX(COUNT(phone_brand)); twenties refers to age BETWEEN 20 AND 30;
[query_database(**{'query': 'SELECT T.phone_brand FROM ( SELECT T2.phone_brand, COUNT(T2.phone_brand) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.age BETWEEN 20 AND 30 GROUP BY T2.phone_brand ) AS T ORDER BY T.num DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE `app_all` ( `app_id` INTEGER NOT NULL, PRIMARY KEY (`app_id`) ) /* 1 example row: SELECT * FROM app_all LIMIT 1; app_id -9223281467940916832 */ /* column definitions { "app_id": "" }*/ CREATE TABLE `app_events` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER NOT NULL, `is_active` INTEGER NOT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "the id of events", "app_id": "the id of app users", "is_installed": "whether this app is installed or not", "is_active": "whether this user is active or not" }*/ CREATE TABLE `app_events_relevant` ( `event_id` INTEGER NOT NULL, `app_id` INTEGER NOT NULL, `is_installed` INTEGER DEFAULT NULL, `is_active` INTEGER DEFAULT NULL, PRIMARY KEY (`event_id`,`app_id`), FOREIGN KEY (`event_id`) REFERENCES `events_relevant` (`event_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_events_relevant LIMIT 1; event_id || app_id ||is_installed ||is_active 2 ||-8942695423876075857 || 1 || 0 */ /* column definitions { "event_id": "", "app_id": "", "is_installed": "", "is_active": "" }*/ CREATE TABLE `app_labels` ( `app_id` INTEGER NOT NULL, `label_id` INTEGER NOT NULL, FOREIGN KEY (`label_id`) REFERENCES `label_categories` (`label_id`) ON DELETE CASCADE ON UPDATE CASCADE, FOREIGN KEY (`app_id`) REFERENCES `app_all` (`app_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM app_labels LIMIT 1; app_id ||label_id 7324884708820027918 || 251 */ /* column definitions { "app_id": "id of the app user", "label_id": "id of labels represents which behavior category that each user belongs to " }*/ CREATE TABLE `events` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME DEFAULT NULL, `longitude` REAL DEFAULT NULL, `latitude` REAL DEFAULT NULL, PRIMARY KEY (`event_id`) ) /* 1 example row: SELECT * FROM events LIMIT 1; event_id || device_id || timestamp ||longitude ||latitude 1 ||29182687948017175 ||2016-05-01 00:55:25.0 || 121.0 || 31.0 */ /* column definitions { "event_id": "unique id number referring to the event", "device_id": "id number referring the device", "timestamp": "the time of the event", "longitude": "longitude ", "latitude": "latitude" }*/ CREATE TABLE `events_relevant` ( `event_id` INTEGER NOT NULL, `device_id` INTEGER DEFAULT NULL, `timestamp` DATETIME NOT NULL, `longitude` REAL NOT NULL, `latitude` REAL NOT NULL, PRIMARY KEY (`event_id`), FOREIGN KEY (`device_id`) REFERENCES `gender_age` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM events_relevant LIMIT 1; event_id ||device_id || timestamp ||longitude ||latitude 2 || None ||-8942695423876075857 || 1.0 || 0.0 */ /* column definitions { "event_id": "", "device_id": "", "timestamp": "", "longitude": "", "latitude": "" }*/ CREATE TABLE `gender_age` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`), FOREIGN KEY (`device_id`) REFERENCES `phone_brand_device_model2` (`device_id`) ON DELETE CASCADE ON UPDATE CASCADE ) /* 1 example row: SELECT * FROM gender_age LIMIT 1; device_id ||gender ||age || group -9221086586254644858 || M || 29 ||M29-31 */ /* column definitions { "device_id": "unique number of devices", "gender": "gender of the user who uses this device", "age": "age of the user who uses this device", "group": "group of the ages" }*/ CREATE TABLE `gender_age_test` ( `device_id` INTEGER NOT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_test LIMIT 1; device_id -9223321966609553846 */ /* column definitions { "device_id": "" }*/ CREATE TABLE `gender_age_train` ( `device_id` INTEGER NOT NULL, `gender` TEXT DEFAULT NULL, `age` INTEGER DEFAULT NULL, `group` TEXT DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM gender_age_train LIMIT 1; device_id ||gender ||age || group -9223067244542181226 || M || 24 ||M23-26 */ /* column definitions { "device_id": "", "gender": "", "age": "", "group": "" }*/ CREATE TABLE `label_categories` ( `label_id` INTEGER NOT NULL, `category` TEXT DEFAULT NULL, PRIMARY KEY (`label_id`) ) /* 1 example row: SELECT * FROM label_categories LIMIT 1; label_id ||category 1 || None */ /* column definitions { "label_id": "unique id of label", "category": "category of the label" }*/ CREATE TABLE `phone_brand_device_model2` ( `device_id` INTEGER NOT NULL, `phone_brand` TEXT NOT NULL, `device_model` TEXT NOT NULL, PRIMARY KEY (`device_id`,`phone_brand`,`device_model`) ) /* 1 example row: SELECT * FROM phone_brand_device_model2 LIMIT 1; device_id ||phone_brand ||device_model -9223321966609553846 || 小米 || 红米note */ /* column definitions { "device_id": "the id number of the device", "phone_brand": "phone brand", "device_model": "device model" }*/ CREATE TABLE `sample_submission` ( `device_id` INTEGER NOT NULL, `F23-` REAL DEFAULT NULL, `F24-26` REAL DEFAULT NULL, `F27-28` REAL DEFAULT NULL, `F29-32` REAL DEFAULT NULL, `F33-42` REAL DEFAULT NULL, `F43+` REAL DEFAULT NULL, `M22-` REAL DEFAULT NULL, `M23-26` REAL DEFAULT NULL, `M27-28` REAL DEFAULT NULL, `M29-31` REAL DEFAULT NULL, `M32-38` REAL DEFAULT NULL, `M39+` REAL DEFAULT NULL, PRIMARY KEY (`device_id`) ) /* 1 example row: SELECT * FROM sample_submission LIMIT 1; device_id || F23- ||F24-26 ||F27-28 ||F29-32 ||F33-42 || F43+ || M22- ||M23-26 ||M27-28 ||M29-31 ||M32-38 || M39+ -9223321966609553846 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 ||0.0833 */ /* column definitions { "device_id": "", "F23-": "", "F24-26": "", "F27-28": "", "F29-32": "", "F33-42": "", "F43+": "", "M22-": "", "M23-26": "", "M27-28": "", "M29-31": "", "M32-38": "", "M39+": "" }*/
1,247
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question What is the title of the episode with the keyword "laundering money"? Clarification: keyword "laundering money" refers to keyword = 'laundering money'
[query_database(**{'query': 'SELECT T1.title FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T2.keyword = 'laundering money''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,252
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question Park Dietz was credited in which role in the episode titled "Cherished"? Clarification: credited refers to credited = 'true'; titled "Cherished" refers to title = 'Cherished'
[query_database(**{'query': 'SELECT T2.role FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T1.title = 'Cherished' AND T3.name = 'Park Dietz' AND T2.credited = 'true''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question Please list the titles of all the episodes in which Park Dietz was credited. Clarification: credited refers to credited = 'true'
[query_database(**{'query': 'SELECT T1.title FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T2.credited = 'true' AND T3.name = 'Park Dietz''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,260
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question How many nominations did Law and Order season 9, episode 20 get? Clarification: Law and Order refers to series = 'Law and Order'
[query_database(**{'query': 'SELECT COUNT(T2.award_id) FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE T2.series = 'Law and Order' AND T1.season = 9 AND T1.episode = 20'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,265
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question For the episode with the most votes, give its air date. Clarification: the most votes refers to max(votes)
[query_database(**{'query': 'SELECT T2.air_date FROM Vote AS T1 INNER JOIN Episode AS T2 ON T2.episode_id = T1.episode_id GROUP BY T2.episode_id ORDER BY SUM(T1.votes) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,270
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question Calculate the average number of cast members that appeared in the credit from the 185th to the 193rd episode. Clarification: appeared in the credit refers to credited = 'TRUE'; from the 185th to the 193rd episode refers to number_in_series between 185 and 193; cast refers to category = 'Cast'; average number = divide(count(episode_id), 9)
[query_database(**{'query': 'SELECT CAST(COUNT(T1.episode_id) AS REAL) / (193 - 185 + 1) FROM Credit AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.category = 'Cast' AND T1.credited = 'true' AND T2.number_in_series BETWEEN 185 AND 193'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,273
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question Who is the script supervisor of the series in episode tt0629204? Clarification: who refers to name; script supervisor refers to role = 'script supervisor'; episode tt0629204 refers to episode_id = 'tt0629204'
[query_database(**{'query': 'SELECT T2.name FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T1.episode_id = 'tt0629204' AND T1.role = 'script supervisor''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,277
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question How many people gave the most enjoyed episode a 10-star rating? Clarification: the most enjoyed refers max(rating); 10-star refers to stars = 10
[query_database(**{'query': 'SELECT COUNT(T1.episode_id) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T2.stars = 10'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,280
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question What is the title of the episode with the highest number of keywords? Clarification: the highest number of keywords refers to max(count(keyword))
[query_database(**{'query': 'SELECT T1.title FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id GROUP BY T1.episode_id ORDER BY COUNT(T2.keyword) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,283
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question How many episodes are there in the 9th season of Law and Order? Calculate the average number of casts per season of the said series. Clarification: the 9th season refers to season = 9; Law and Order refers to series = 'Law and Order'; cast refers to category = 'Cast'; average number of casts per season = divide(count(person_id), count(episode_id))
[query_database(**{'query': 'SELECT SUM(CASE WHEN T2.season = 9 THEN 1 ELSE 0 END) AS num , CAST(SUM(CASE WHEN T2.season = 9 THEN 1 ELSE 0 END) AS REAL) / COUNT(T1.episode_id) FROM Credit AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.category = 'Cast' AND T2.series = 'Law and Order''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,289
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question How many people were not credited at the end of the "Admissions" episode? Clarification: not credited refers to credited = ''; the "Admissions" episode refers to title = 'Admissions'
[query_database(**{'query': 'SELECT COUNT(T2.person_id) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Admissions' AND T2.credited = 'false''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question How many people did not enjoy the finale episode? Clarification: did not enjoy refers to stars = 1; the finale episode refers to episode = 24
[query_database(**{'query': 'SELECT COUNT(T1.episode_id) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T1.episode = 24 AND T2.stars = 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,298
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question How many episodes have not won any Law & Order series awards? Clarification: have not won any award refers to Result = 'Nominee'
[query_database(**{'query': 'SELECT COUNT(award_id) FROM Award WHERE Result = 'Nominee''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,301
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question What is the full place of birth of Rene Chenevert Balcer? Clarification: full place of birth refers to birth_place, birth_region; Rene Chenevert Balcer refers to birth_name = 'Rene Chenevert Balcer'
[query_database(**{'query': 'SELECT birth_place, birth_region FROM Person WHERE birth_name = 'Rene Chenevert Balcer''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,306
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question In which episodes was Anthony Azzara not credited? Clarification: which episode refers to title; not credited refers to credited = ''
[query_database(**{'query': 'SELECT T1.title FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T2.credited = 'false' AND T3.name = 'Anthony Azzara''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,310
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question What role was Julia Roberts nominated for? Clarification: nominated refers to result = 'Nominee'
[query_database(**{'query': 'SELECT T2.role FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.Result = 'Nominee' AND T1.name = 'Julia Roberts''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,314
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question What are the names of all the people who worked on episode 19 of season 9? Clarification:
[query_database(**{'query': 'SELECT T3.name FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T1.episode = 19 AND T1.season = 9'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,318
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question How many 6-star votes did episode 12 get? Please include the air date and rating. Clarification: 6-star vote refers to stars = 6
[query_database(**{'query': 'SELECT T2.air_date, T2.rating FROM Vote AS T1 INNER JOIN Episode AS T2 ON T2.episode_id = T1.episode_id WHERE T1.stars = 6 AND T2.episode = 12'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question Who was the Law and Order series writer who also won the Television Silver Gavel Award at the American Bar Association Silver Gavel Awards for Media and the Arts for two consecutive years? Clarification: who refers to name; writer refers to role = 'writer'; won refers to result = 'Winner'; the Television refers to award = 'Television'; Silver Gavel Award refers to award_category = 'Silver Gavel Award'; the American Bar Association Silver Gavel Awards for Media and the Arts refers to organization = 'American Bar Association Silver Gavel Awards for Media and the Arts'
[query_database(**{'query': 'SELECT t3.name FROM ( SELECT DISTINCT T2.year AS years, T1.name, row_number() OVER (PARTITION BY T1.name ORDER BY T2.year) AS rm FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.award = 'Television' AND T2.award_category = 'Silver Gavel Award' AND T2.series = 'Law and Order' AND T2.result = 'Winner' AND T2.organization = 'American Bar Association Silver Gavel Awards for Media and the Arts' ) AS T3 GROUP BY t3.name HAVING COUNT(t3.years - t3.rm) >= 2'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question Among the American casts, how many were uncredited on episode ID tt0629228? Clarification: American refers to birth_country = 'USA'; cast refers to category = 'Cast'; uncredited refers to credited = ''
[query_database(**{'query': 'SELECT COUNT(T1.person_id) FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T1.episode_id = 'tt0629228' AND T1.category = 'Cast' AND T1.credited = 'false' AND T2.birth_country = 'USA''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,330
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question What is the ratio of American casts on episode 2 of the series? Please include their roles. Clarification: American refers to birth_country = 'USA'; cast refers to category = 'Cast'; ratio = divide(count(person_id where birth_country = 'USA'), total(category)) where category = 'Cast'
[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN T2.category = 'Cast' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.category), T1.role FROM Award AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Episode AS T3 ON T2.episode_id = T3.episode_id INNER JOIN Person AS T4 ON T2.person_id = T4.person_id WHERE T3.episode = 2 AND T4.birth_country = 'USA''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,334
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question List out all award titles nominated for episode 20. Clarification: award title refers to title; nominated refers to result = 'Winner' or result = 'Nominee'
[query_database(**{'query': 'SELECT T2.award FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE T1.episode = 20 AND T2.result IN ('Winner', 'Nominee')'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,338
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question What is the average rating for each episode in season 9? Clarification: average rating = divide(sum(rating), count(episode_id))
[query_database(**{'query': 'SELECT SUM(rating) / COUNT(episode_id) FROM Episode WHERE season = 9'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question What is the episode that has mafia keyword? Clarification: mafia keyword refers to Keyword = 'mafia'
[query_database(**{'query': 'SELECT T1.episode FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T2.Keyword = 'mafia''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,346
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question Which continent was Michael Preston born on? Clarification: continent refers to birth_country
[query_database(**{'query': 'SELECT birth_country FROM Person WHERE name = 'Michael Preston''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,350
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question Which episode was nominated for the award for "Outstanding Costume Design for a Series"? Clarification: episode refers to title; "Outstanding Costume Design for a Series" refers to award = 'Outstanding Costume Design for a Series'
[query_database(**{'query': 'SELECT T2.title FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.award = 'Outstanding Costume Design for a Series''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,354
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question What are the keywords of the episode "Shield"? Clarification: the episode "Shield" refers to title = 'Shield'
[query_database(**{'query': 'SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Shield''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,358
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/ ### Question Please list any three episodes that were most enjoyed by the viewers. Clarification: episode refers to title; most enjoyed by the viewers refers to stars = 10
[query_database(**{'query': 'SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T2.stars = 10 LIMIT 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE Episode ( episode_id TEXT primary key, series TEXT, season INTEGER, episode INTEGER, number_in_series INTEGER, title TEXT, summary TEXT, air_date DATE, episode_image TEXT, rating REAL, votes INTEGER ) /* 1 example row: SELECT * FROM episode LIMIT 1; episode_id || series ||season ||episode ||number_in_series || title || summary || air_date || episode_image ||rating ||votes tt0629204 ||Law and Order || 9 || 1 || 182 ||Cherished ||New assistant DA Abbie Carmichael aggressively investigates an infant's death and helps uncover a conspiracy involving a Russian adoption agency, gravely ill children, and an unethical doctor. ||1998-09-23 ||https://m.media-amazon.com/images/M/MV5BODFmZmI2YTgtN2Y2Mi00ODA1LThjOTAtOTAzZWFmMTgyMjJjXkEyXkFqcGdeQXVyMjMzNzMxMTA@._V1_UY126_CR7,0,224,126_AL_.jpg || 7.9 || 203 */ /* column definitions { "episode_id": "the unique identifier of the episode", "series": "the name of the series", "season": "a number indicating the season of the episode", "episode": "the sequential number of the episode within a specific season", "number_in_series": "the overall sequence number of episode in the entire series", "title": "the title of the episode", "summary": "a brief description of what happens in the episode", "air_date": "the date the episode was initially broadcast in the United States", "episode_image": "a link to an image from the episode", "rating": "the weighted average of the votes received for the episode", "votes": "the total number of rating votes for the episode" }*/ CREATE TABLE Keyword ( episode_id TEXT, keyword TEXT, primary key (episode_id, keyword), foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM keyword LIMIT 1; episode_id ||keyword tt0629239 || nun */ /* column definitions { "episode_id": "the id of the episode", "keyword": "the keyword that is relevant for the episode" }*/ CREATE TABLE Person ( person_id TEXT primary key, name TEXT, birthdate DATE, birth_name TEXT, birth_place TEXT, birth_region TEXT, birth_country TEXT, height_meters REAL, nickname TEXT ) /* 1 example row: SELECT * FROM person LIMIT 1; person_id || name || birthdate || birth_name ||birth_place ||birth_region ||birth_country ||height_meters ||nickname nm0000210 ||Julia Roberts ||1967-10-28 ||Julia Fiona Roberts || Smyrna || Georgia || USA || 1.73 || Jules */ /* column definitions { "person_id": "the unique identifier for the person", "name": "the name of the person", "birthdate": "the date the person was born", "birth_name": "the name parents gave to the person shortly after birth", "birth_place": "the place where a person was born.", "birth_region": "the geographical area describing where a person was born that is larger than the birth place", "birth_country": "the name of the country where the person was born", "height_meters": "how tall the person is in meters", "nickname": "the nickname the person goes by" }*/ CREATE TABLE Award ( award_id INTEGER primary key, organization TEXT, year INTEGER, award_category TEXT, award TEXT, series TEXT, episode_id TEXT, person_id TEXT, role TEXT, result TEXT, foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM award LIMIT 1; award_id || organization ||year ||award_category || award || series ||episode_id ||person_id ||role ||result 258 ||International Monitor Awards ||1999 || Monitor ||Film Originated Television Series - Best Achievement ||Law and Order || tt0629149 ||nm0937725 ||None ||Winner */ /* column definitions { "award_id": "the unique identifier for the award nomination", "organization": "the name of the organization that grants the award", "year": "the year of the nomination for the award", "award_category": "the class of the award", "award": "the specific award", "series": "the name of the Law & Order series that has been nominated", "episode_id": "the id of the episode that has been nominated", "person_id": "the id of the person that has been nominated", "role": "the role that has been nominated", "result": "the nomination result" }*/ CREATE TABLE Credit ( episode_id TEXT, person_id TEXT, category TEXT, role TEXT, credited TEXT, primary key (episode_id, person_id), foreign key (episode_id) references Episode(episode_id), foreign key (person_id) references Person(person_id) ) /* 1 example row: SELECT * FROM credit LIMIT 1; episode_id ||person_id || category || role ||credited tt0629204 ||nm0226352 ||Additional Crew ||technical advisor || true */ /* column definitions { "episode_id": "the id of the episode to which the credit information pertains", "person_id": "the id of the person to which the credit information pertains", "category": "the kind of credit being recognized", "role": "the role for which the person is being recognized", "credited": "whether the credit was displayed in the credits at the end of the episode" }*/ CREATE TABLE Vote ( episode_id TEXT, stars INTEGER, votes INTEGER, percent REAL, foreign key (episode_id) references Episode(episode_id) ) /* 1 example row: SELECT * FROM vote LIMIT 1; episode_id ||stars ||votes ||percent tt0629204 || 10 || 36 || 17.7 */ /* column definitions { "episode_id": "the id of the episode", "stars": "a number between 1 and 10 indicating how much the viewer enjoyed the episode", "votes": "The total number of viewers that gave the specific episode the number of stars indicated in the \"stars\" column", "percent": "The percent of viewers that gave the specific episode the number of stars indicated in the \"stars\" column" }*/
1,361
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question During all the observations of Elly Koss, what was the highest Systolic Blood Pressure observed? Clarification: the highest Systolic Blood Pressure refers to MAX(DESCRIPTION = 'Systolic Blood Pressure') from observations;
[query_database(**{'query': 'SELECT T2.value, T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Systolic Blood Pressure' ORDER BY T2.VALUE DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,365
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question Please list all the medication that are prescribed to Elly Koss. Clarification: medication that are prescribed refers to DESCRIPTION from medications;
[query_database(**{'query': 'SELECT DISTINCT T2.description FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,369
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question What was the condition of Elly Koss on 2009/1/8? Clarification: condition on 2009/1/8 refers to DESCRIPTION from conditions where START = '2009-01-08';
[query_database(**{'query': 'SELECT T2.description FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.START = '2009-01-08''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,373
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question Give the body height status of Mr. Vincent Wyman on 2010/8/2. Clarification: body height status refers to DESCRIPTION = 'Body Height' from observations; on 2010/8/2 refers to DATE = '2010-08-02';
[query_database(**{'query': 'SELECT T2.description, T2.VALUE, T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Vincent' AND T1.last = 'Wyman' AND T2.date = '2010-08-02' AND T2.description = 'Body Height''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,376
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question What is the prevalence percentage of condition no. 64859006? Clarification: condition no. 64859006 refers to conditions where CODE = '64859006';
[query_database(**{'query': 'SELECT DISTINCT T1."PREVALENCE PERCENTAGE" FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) WHERE T2.code = '64859006''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,381
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question Provide the name of the patient who had a claim on 1947/9/11. Clarification: name of the patient implies full name and refers to first, last; on 1947/9/11 refers to BILLABLEPERIOD = '1947-09-11';
[query_database(**{'query': 'SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN claims AS T2 ON T1.patient = T2.PATIENT WHERE T2.billableperiod = '1947-09-11''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,385
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question Calculate the average period of Mr. Wesley Lemke's care plans. Clarification: DIVIDE(SUBTRACT(stop time - start time), COUNT(ID)));
[query_database(**{'query': 'SELECT CAST(SUM(strftime('%J', T2.STOP) - strftime('%J', T2.START)) AS REAL) / COUNT(T1.patient) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Wesley' AND T1.last = 'Lemke''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,389
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question How many patients are allergic to eggs? Clarification: allergic to eggs refer to DESCRIPTION = 'Allergy to eggs' from allergies;
[query_database(**{'query': 'SELECT COUNT(PATIENT) FROM allergies WHERE DESCRIPTION = 'Allergy to eggs''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,391
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question What is the most common allergy among patients? Clarification: the most common allergy refers to MAX(COUNT(DESCRIPTION)) from allergies;
[query_database(**{'query': 'SELECT DESCRIPTION FROM allergies GROUP BY DESCRIPTION ORDER BY COUNT(DESCRIPTION) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,395
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question How many of the patients born in 1920s had pneumonia? Clarification: patients born in 1920s refer to patient where birthdate like '192%'; pneumonia refers to DESCRIPTION = 'Pneumonia' from conditions;
[query_database(**{'query': 'SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE DESCRIPTION = 'Pneumonia' AND strftime('%Y', T1.birthdate) LIKE '192%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,399
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question How many patients have the most prevalent conditions? Clarification: the most prevalent conditions refer to MAX(PREVALENCE RATE);
[query_database(**{'query': 'SELECT COUNT(DISTINCT T2.patient) FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) ORDER BY T1."PREVALENCE RATE" DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,403
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question Among the patients who were immunized with meningococcal MCV4P, how many have viral sinusitis disorder after getting the immunization? Clarification: immunized with meningococcal MCV4P refers to DESCRIPTION = 'meningococcal MCV4P' from immunizations; viral sinusitis disorder refers to DESCRIPTION = 'Viral sinusitis (disorder)' from conditions;
[query_database(**{'query': 'SELECT COUNT(DISTINCT T1.patient) FROM immunizations AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.DESCRIPTION = 'meningococcal MCV4P' AND T2.DESCRIPTION = 'Viral sinusitis (disorder)''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,407
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question How many Asian female patients take oxaliplatin 5 MG/ML [Eloxatin]? Clarification: female refers to gender = 'F'; oxaliplatin 5 MG/ML [Eloxatin] refers to medications where DESCRIPTION = 'oxaliplatin 5 MG/ML [Eloxatin]';
[query_database(**{'query': 'SELECT COUNT(DISTINCT T2.patient) FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'oxaliplatin 5 MG/ML [Eloxatin]' AND T2.race = 'asian' AND T2.gender = 'F''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,411
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question What is the medicine prescribed for the patient with social security number 999-94-3751? Clarification: medicine prescribed refers to DESCRIPTION from medications; social security number 999-94-3751 refers to ssn = '999-94-3751';
[query_database(**{'query': 'SELECT T1.DESCRIPTION FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ssn = '999-94-3751''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,415
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question What is the code of the prevalent disease with the highest occurrences? Clarification:
[query_database(**{'query': 'SELECT T2.code FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON T1.ITEM = T2.DESCRIPTION ORDER BY T1.OCCURRENCES DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,419
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question Provide the number of encounters for Major D'Amore. Clarification:
[query_database(**{'query': 'SELECT COUNT(T2.ID) FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Major' AND T1.last = 'D''Amore''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,423
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question Name the patients who had an allergy to soy. Clarification: allergy to soy refers to allergies where DESCRIPTION = 'Allergy to soya';
[query_database(**{'query': 'SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Allergy to soya''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,427
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question Provide medications received by patients with an allergy to mould on 6th June 2016. Clarification: medications refers to DESCRIPTION from medications; allergy to mould refers to allergies where DESCRIPTION = 'Allergy to mould'; on 6th June 2016 refers to START = '6/6/16';
[query_database(**{'query': 'SELECT T2.DESCRIPTION FROM allergies AS T1 INNER JOIN medications AS T2 ON T1.PATIENT = T2.PATIENT WHERE T1.START = '6/6/16' AND T1.DESCRIPTION = 'Allergy to mould''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,431
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question Among the immunizations in 2017, calculate the percentage of patients who received the Influenza seasonal injectable preservative free. Among them, how many patients are English? Clarification: DIVIDE(COUNT(PATIENT when DESCRIPTION = 'Influenza seasonal injectable preservative free'), COUNT(PATIENT)) as percentage where strftime('%Y', 2017); English refers ethnicity = 'english';
[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN T2.DESCRIPTION = 'Influenza seasonal injectable preservative free' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient), SUM(CASE WHEN T1.ethnicity = 'english' THEN 1 ELSE 0 END) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE strftime('%Y', T2.DATE) = '2017''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,436
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question List down the address of patients who have billable period in 2010. Clarification:
[query_database(**{'query': 'SELECT DISTINCT T1.address FROM patients AS T1 INNER JOIN claims AS T2 ON T1.patient = T2.PATIENT WHERE T2.BILLABLEPERIOD LIKE '2010%''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,439
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question How many of the male patients are allergic to house dust mites? Clarification: male patients refer to PATIENT where gender = 'M'; allergic to house dust mites refers to allergies where DESCRIPTION = 'House dust mite allergy';
[query_database(**{'query': 'SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'House dust mite allergy' AND T1.gender = 'M''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,443
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question List down the encounter descriptions of patients who were born in Pittsfield MA US. Clarification: born in Pittsfield MA US refers to birthplace = 'Pittsfield MA US';
[query_database(**{'query': 'SELECT DISTINCT T2.DESCRIPTION FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.birthplace = 'Pittsfield MA US''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,448
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question Indicate the full name of the patients who have 3 different allergies. Clarification: full name refers to first, last; have 3 different allergies refer to allergies where COUNT(DESCRIPTION) > 3;
[query_database(**{'query': 'SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT GROUP BY T1.patient ORDER BY COUNT(DISTINCT T2.DESCRIPTION) > 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,452
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question On what dates did the billable period begin for patients with the last name Dickinson? Clarification: dates when the billable period begin refers to BILLABLEPERIOD;
[query_database(**{'query': 'SELECT DISTINCT T2.BILLABLEPERIOD FROM patients AS T1 INNER JOIN claims AS T2 ON T1.patient = T2.PATIENT WHERE T1.last = 'Dickinson''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,456
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question How many patients immunized against 'monovalent rotavirus' ceased their care plan on 11/23/2013? Clarification: immunized against monovalent rotavirus refers to immunizations.DESCRIPTION = 'rotavirus monovalent'; ceased their care plan on 11/23/2013 refers to careplans.STOP = '2013-11-23';
[query_database(**{'query': 'SELECT COUNT(DISTINCT T1.patient) FROM careplans AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'rotavirus monovalent' AND T1.STOP = '2013-11-23''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,460
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question Write down the Social Security numbers of patients who have latex allergies. Clarification: Social Security numbers refers to ssn; latex allergies refers to allergies.DESCRIPTION = 'Latex allergy';
[query_database(**{'query': 'SELECT T1.ssn FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Latex allergy''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,463
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question In 2009, who among the married patients had undergone a care plan for more than 60 days? Clarification: in 2009 refers to year(careplans.START) = 2009; married patients refers to marital = 'M'; undergone a care plan for more than 60 days refers to SUBTRACT(careplans.STOP, careplans.START) > 60;
[query_database(**{'query': 'SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.marital = 'M' AND strftime('%J', T2.STOP) - strftime('%J', T2.START) > 60'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,467
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question How long did Berry Keebler take the Acetaminophen 160 MG when he was admitted due to acute bronchitis? Clarification: how long = SUBTRACT(medications.STOP, medications.START); Acetaminophen 160 MG refers to medications.DESCRIPTION = 'Acetaminophen 160 MG'; acute bronchitis refers to medications.REASONDESCRIPTION = 'Acute bronchitis (disorder)';
[query_database(**{'query': 'SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS takenDays FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Berry' AND T1.last = 'Keebler' AND T2.REASONDESCRIPTION = 'Acute bronchitis (disorder)' AND T2.DESCRIPTION = 'Acetaminophen 160 MG''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,471
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question What is the social security number and address of the patient who encountered viral sinusitis symptoms on 6/13/2008? Clarification: social security number refers to ssn; encountered viral sinusitis refers to encounters.REASONDESCRIPTION = 'Viral sinusitis (disorder)'; on 6/13/2008 refers to encounters.DATE = '2008-06-13';
[query_database(**{'query': 'SELECT T1.ssn, T1.address FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T2.DATE = '2008-06-13' AND T2.REASONDESCRIPTION = 'Viral sinusitis (disorder)' AND T2.DESCRIPTION = 'Encounter for symptom''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,475
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question How many types of medication have been prescribed to Mr. Major D'Amore since his visit to the hospital? Clarification: types of medications refers to medications.DESCRIPTION;
[query_database(**{'query': 'SELECT COUNT(DISTINCT T2.DESCRIPTION) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Major' AND T1.last = 'D''Amore''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,479
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question How many mothers have taken immunization during prenatal visit? Clarification: expecting mothers can be attributed to encounters.REASONDESCRIPTION = 'Normal pregnancy';
[query_database(**{'query': 'SELECT COUNT(DISTINCT T2.PATIENT) FROM encounters AS T1 INNER JOIN immunizations AS T2 ON T1.PATIENT = T2.PATIENT WHERE T1.REASONDESCRIPTION = 'Normal pregnancy' AND T1.DATE = T2.DATE'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question How many unmarried women were checked for normal pregnancy? Clarification: unmarried refers to marital = 'S'; women refers to gender = 'F'; normal pregnancy refers to conditions.DESCRIPTION = 'normal pregnancy';
[query_database(**{'query': 'SELECT COUNT(DISTINCT T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Normal pregnancy' AND T2.gender = 'F' AND T2.marital = 'S''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,487
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question What is the percentage of the most common conditions for patients age 60 and above? Clarification: most common condition refers to MAX(COUNT(conditions.DESCRIPTION)); age 60 and above refers to SUBTRACT(conditions.START, birthdate) > 60; percentage = MULTIPLY(DIVIDE(SUM(patients.patient WHERE MAX(COUNT(conditions.DESCRIPTION)) AND SUBTRACT(conditions.START, birthdate) > 60))), COUNT(patients.patient WHERE MAX(COUNT(conditions.DESCRIPTION)), 10);
[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN T5.DESCRIPTION = T3.DESCRIPTION THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.patient) FROM ( SELECT T2.DESCRIPTION, T1.patient FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE ROUND((strftime('%J', T2.START) - strftime('%J', T1.birthdate)) / 365) > 60 GROUP BY T2.DESCRIPTION ORDER BY COUNT(T2.DESCRIPTION) DESC LIMIT 1 ) AS T3 INNER JOIN patients AS T4 ON T3.patient = T4.patient INNER JOIN conditions AS T5 ON T4.patient = T5.PATIENT WHERE ROUND((strftime('%J', T5.START) - strftime('%J', T4.birthdate)) / 365) > 60'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,494
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question Identify the allergy period for Isadora Moen and what triggered it. Clarification: allergy period = SUBTRACT(allergies.START, allergies.STOP); what triggered the allergy refers to allergies.DESCRIPTION;
[query_database(**{'query': 'SELECT T2.START, T2.STOP, T2.DESCRIPTION FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Isadora' AND T1.last = 'Moen''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,498
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question How long did Elly Koss have to take Acetaminophen 160 MG? Clarification: how long = SUBTRACT(julianday(medications.stop), julianday(medications.START)); Acetaminophen 160 MG refers to medications.DESCRIPTION = 'Acetaminophen 160 MG';
[query_database(**{'query': 'SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND last = 'Koss' AND T2.DESCRIPTION = 'Acetaminophen 160 MG''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,502
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question State description of medication taken by Joe Homenick. Clarification: description of medication refers to medications.DESCRIPTION;
[query_database(**{'query': 'SELECT T1.DESCRIPTION FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Joye' AND T2.last = 'Homenick''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,506
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question State the description of the reason why Angelo Buckridge needs the care plan. Clarification: description of the reason of the care plan refers to careplans.REASONDESCRIPTION;
[query_database(**{'query': 'SELECT DISTINCT T1.REASONDESCRIPTION FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Angelo' AND T2.last = 'Buckridge''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,509
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question List out the start date of the care plan of alive patients. Clarification: start of the care plan refers to careplans.START; alive patients refers to deathdate is null;
[query_database(**{'query': 'SELECT DISTINCT T1.START FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.deathdate IS NULL'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,513
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question How many Italian patients have the care plan code of 304510005? Clarification: Italian patients refers to ethnicity = 'italian';
[query_database(**{'query': 'SELECT COUNT(DISTINCT T2.patient) FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ethnicity = 'italian' AND T1.CODE = '304510005''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,517
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question List the full names of patients with nut allergy. Clarification: full names = first, last; nut allergy refers to allergies.DESCRIPTION = 'Allergy to nut';
[query_database(**{'query': 'SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Allergy to nut''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,521
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question How many white patients whose birth year is 1935 have a stroke? Clarification: white refers to race = 'white'; birth year is 1935 refers to substr(birthdate, 1, 4) = '1935'; stroke refers to conditions.DESCRIPTION = 'Stroke';
[query_database(**{'query': 'SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.patient WHERE strftime('%Y', T1.birthdate) = '1935' AND T1.race = 'white' AND T2.DESCRIPTION = 'Stroke''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,525
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question How many male patients have been described as immune to quadrivalent HPV? Clarification: male refers to gender = 'M'; immune to quadrivalent HPV refers to immunizations.DESCRIPTION = 'HPV quadrivalent';
[query_database(**{'query': 'SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'HPV quadrivalent' AND T1.gender = 'M''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,529
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question Among the patients who have been using Penicillin V Potassium 250 MG, what percentage of patients are female? Clarification: Penicillin V Potassium 250 MG refers to medications.DESCRIPTION = 'Penicillin V Potassium 250 MG'; percentage = MULTIPLY(DIVIDE(patients.patient WHERE gender = 'F'), COUNT(patients.patient) WHERE medications.DESCRIPTION = 'Penicillin V Potassium 250 MG'), 100) female refers to gender = 'F';
[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN T1.gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Penicillin V Potassium 250 MG''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,533
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question How many patients who are allergic to peanuts have asthma? Clarification: allergic to peanuts refers to allergies.DESCRIPTION = 'Allergy to peanuts'; asthma refers to conditions.DESCRIPTION = 'Asthma';
[query_database(**{'query': 'SELECT COUNT(DISTINCT T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN allergies AS T3 ON T2.patient = T3.PATIENT WHERE T1.DESCRIPTION = 'Asthma' AND T3.DESCRIPTION = 'Allergy to peanuts''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,537
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question What is the care plan for the patient with social security number 999-15-3685? Clarification: social security number refers to ssn; ssn = '999-15-3685';
[query_database(**{'query': 'SELECT DISTINCT T1.DESCRIPTION FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ssn = '999-15-3685''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/ ### Question Among the male patients, list down 5 birth dates of patients taking the medication "Penicillin V Potassium 250 MG". Clarification: male patients refers to gender = 'M'; Penicillin V Potassium 250 MG refers to medications.DESCRIPTION = 'Penicillin V Potassium 250 MG';
[query_database(**{'query': 'SELECT DISTINCT T2.birthdate FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Penicillin V Potassium 250 MG' AND T2.gender = 'M' LIMIT 5'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE all_prevalences ( ITEM TEXT primary key, "POPULATION TYPE" TEXT, OCCURRENCES INTEGER, "POPULATION COUNT" INTEGER, "PREVALENCE RATE" REAL, "PREVALENCE PERCENTAGE" REAL ) /* 1 example row: SELECT * FROM all_prevalences LIMIT 1; ITEM ||POPULATION TYPE ||OCCURRENCES ||POPULATION COUNT ||PREVALENCE RATE ||PREVALENCE PERCENTAGE Viral Sinusitis (Disorder) || LIVING || 868 || 1000 || 0.868 || 86.8 */ /* column definitions { "ITEM": "the prevalent disease", "POPULATION TYPE": "the population type - LIVING", "OCCURRENCES": "the number of occurrences", "POPULATION COUNT": "the number of the counted populations ", "PREVALENCE RATE": "the prevalence rate", "PREVALENCE PERCENTAGE": "the prevalence percentage" }*/ CREATE TABLE patients ( patient TEXT primary key, birthdate DATE, deathdate DATE, ssn TEXT, drivers TEXT, passport TEXT, prefix TEXT, first TEXT, last TEXT, suffix TEXT, maiden TEXT, marital TEXT, race TEXT, ethnicity TEXT, gender TEXT, birthplace TEXT, address TEXT ) /* 1 example row: SELECT * FROM patients LIMIT 1; patient || birthdate || deathdate || ssn ||drivers ||passport ||prefix || first || last ||suffix ||maiden ||marital || race ||ethnicity ||gender || birthplace || address 4ee2c837-e60f-4c54-9fdf-8686bc70760b ||1929-04-08 ||2029-11-11 ||999-78-5976 || None || None || None ||Rosamaria ||Pfannerstill || None || None || None ||black ||dominican || F ||Pittsfield MA US ||18797 Karson Burgs Suite 444 Palmer Town MA 01069 US */ /* column definitions { "patient": "the unique id for the patient", "birthdate": "the birth date of the patient", "deathdate": "the death date of the patient", "ssn": "the social security number of the patient", "drivers": "the driver number of the patient", "passport": "the passport number", "prefix": "the prefix", "first": "the first name", "last": "the last name", "suffix": "the suffix of the patient", "maiden": "the maiden name of the patient", "marital": "the marital status of the patient", "race": "the race of the patient", "ethnicity": "the ethnicity of the patient", "gender": "the gender of the patient", "birthplace": "the birth place", "address": "the specific address" }*/ CREATE TABLE encounters ( ID TEXT primary key, DATE DATE, PATIENT TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM encounters LIMIT 1; ID || DATE || PATIENT || CODE || DESCRIPTION ||REASONCODE ||REASONDESCRIPTION 5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||185349003 ||Outpatient Encounter || None || None */ /* column definitions { "ID": "the unique id of the encounter", "DATE": "the date of the encounter", "PATIENT": "the patient id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE allergies ( START TEXT, STOP TEXT, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM allergies LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 3/11/95 ||None ||ab6d8296-d3c7-4fef-9215-40b156db67ac ||9d87c22d-a777-426b-b020-cfa469229f82 ||425525006 ||Allergy to dairy product */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the allergy ", "DESCRIPTION": "the description of the allergy " }*/ CREATE TABLE careplans ( ID TEXT, START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE REAL, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM careplans LIMIT 1; ID || START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION e031962d-d13d-4ede-a449-040417d5e4fb ||2009-01-11 ||2009-04-07 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||53950000.0 ||Respiratory therapy || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "ID": "the unique id of the care plan", "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the care plan ", "DESCRIPTION": "the description of the care plan", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient needs the care plan" }*/ CREATE TABLE conditions ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient), foreign key (DESCRIPTION) references all_prevalences(ITEM) ) /* 1 example row: SELECT * FROM conditions LIMIT 1; START || STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION 2009-01-08 ||2009-01-21 ||71949668-1c2e-43ae-ab0a-64654608defb ||4d451e22-a354-40c9-8b33-b6126158666d ||10509002 ||Acute bronchitis (disorder) */ /* column definitions { "START": "the start date of the allergy ", "STOP": "the stop date of the allergy", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the condition ", "DESCRIPTION": "the description of the patient condition" }*/ CREATE TABLE immunizations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, primary key (DATE, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM immunizations LIMIT 1; DATE || PATIENT || ENCOUNTER ||CODE || DESCRIPTION 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 || 140 ||Influenza seasonal injectable preservative free */ /* column definitions { "DATE": "the date of the immunization", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the immunization ", "DESCRIPTION": "the description of the immunization" }*/ CREATE TABLE medications ( START DATE, STOP DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, primary key (START, PATIENT, ENCOUNTER, CODE), foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM medications LIMIT 1; START ||STOP || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 1988-09-05 ||None ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||834060 ||Penicillin V Potassium 250 MG || 43878008 ||Streptococcal sore throat (disorder) */ /* column definitions { "START": "the start date of the care plan", "STOP": "the stop date of the care plan", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the medication", "DESCRIPTION": "the description of the medication", "REASONCODE": "the reason code", "REASONDESCRIPTION": "the description of the reason why the patient take the medication" }*/ CREATE TABLE observations ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE TEXT, DESCRIPTION TEXT, VALUE REAL, UNITS TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM observations LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE ||DESCRIPTION || VALUE ||UNITS 2008-03-11 ||71949668-1c2e-43ae-ab0a-64654608defb ||5114a5b4-64b8-47b2-82a6-0ce24aae0943 ||8302-2 ||Body Height ||166.03 || cm */ /* column definitions { "DATE": "the date of the observation", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the observation type", "DESCRIPTION": "the description of the observation", "VALUE": "the observation value", "UNITS": "the units of the observation value" }*/ CREATE TABLE procedures ( DATE DATE, PATIENT TEXT, ENCOUNTER TEXT, CODE INTEGER, DESCRIPTION TEXT, REASONCODE INTEGER, REASONDESCRIPTION TEXT, foreign key (ENCOUNTER) references encounters(ID), foreign key (PATIENT) references patients(patient) ) /* 1 example row: SELECT * FROM procedures LIMIT 1; DATE || PATIENT || ENCOUNTER || CODE || DESCRIPTION ||REASONCODE || REASONDESCRIPTION 2013-02-09 ||71949668-1c2e-43ae-ab0a-64654608defb ||6f2e3935-b203-493e-a9c0-f23e847b9798 ||23426006 ||Measurement of respiratory function (procedure) || 10509002 ||Acute bronchitis (disorder) */ /* column definitions { "DATE": "the date of the procedure", "PATIENT": "the patient id", "ENCOUNTER": "the medical encounter id", "CODE": "the code of the procedure", "DESCRIPTION": "the description of the procedure", "REASONCODE": "the code of the reason", "REASONDESCRIPTION": "the description of the reason why the patient take the procedure" }*/ CREATE TABLE "claims" ( ID TEXT primary key, PATIENT TEXT references patients, BILLABLEPERIOD DATE, ORGANIZATION TEXT, ENCOUNTER TEXT references encounters, DIAGNOSIS TEXT, TOTAL INTEGER ) /* 1 example row: SELECT * FROM claims LIMIT 1; ID || PATIENT ||BILLABLEPERIOD || ORGANIZATION || ENCOUNTER ||DIAGNOSIS ||TOTAL 1a9e880e-27a1-4465-8adc-222b1996a14a ||71949668-1c2e-43ae-ab0a-64654608defb || 2008-03-11 ||temp organization ||71949668-1c2e-43ae-ab0a-64654608defb || None || 100 */ /* column definitions { "ID": "the unique id of the claim", "PATIENT": "the patient id", "BILLABLEPERIOD": "the start date of the billable", "ORGANIZATION": "the claim organization", "ENCOUNTER": "the medical encounter id", "DIAGNOSIS": "the diagnosis", "TOTAL": "the length of the billable period" }*/
1,545
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/ ### Question Which different vendor has the most amount of orders? Calculate the total estimated earnings. Clarification: amount of order refers to quantityOrdered; most amount of orders refers to SUM(QuantityOrdered); estimated earnings refers to expected profits; expected profits = SUBTRACT(msrp, buyPrice);
[query_database(**{'query': 'SELECT DISTINCT T1.productVendor, T1.MSRP - T1.buyPrice FROM products AS T1 INNER JOIN orderdetails AS T2 ON T1.productCode = T2.productCode GROUP BY T1.productVendor, T1.MSRP, T1.buyPrice ORDER BY COUNT(T2.quantityOrdered) DESC LIMIT 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/
1,549
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/ ### Question Which sales representatives in New York city whose leader is Anthony Bow with the employee number is 1143? Indicate their employee numbers. Clarification: reportsTO' is the leader of the 'employeeNumber';
[query_database(**{'query': 'SELECT T1.employeeNumber FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T1.reportsTo = 1143 AND T2.city = 'NYC''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/
1,552
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/ ### Question How many checks were issued by Euro+ Shopping Channel in the year 2004? Clarification: Euro+ Shopping Channel is a customer name; year(paymentDate) = '2004';
[query_database(**{'query': 'SELECT COUNT(T1.checkNumber) FROM payments AS T1 INNER JOIN customers AS T2 ON T1.customerNumber = T2.customerNumber WHERE customerName = 'Euro+ Shopping Channel' AND STRFTIME('%Y', T1.paymentDate) = '2004''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/
1,556
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/ ### Question Which two products has the highest and lowest expected profits? Determine the total price for each product in terms of the largest quantity that was ordered. Clarification: expected profits = SUBTRACT(msrp, buyPrice); total price = MULTIPLY(quantityOrdered, priceEach)
[query_database(**{'query': 'SELECT T2.productName, SUM(T1.quantityOrdered * T1.priceEach) FROM orderdetails AS T1 INNER JOIN ( SELECT productCode, productName FROM products ORDER BY MSRP - buyPrice DESC LIMIT 1 ) AS T2 ON T1.productCode = T2.productCode UNION SELECT T2.productName, SUM(quantityOrdered * priceEach) FROM orderdetails AS T1 INNER JOIN ( SELECT productCode, productName FROM products ORDER BY MSRP - buyPrice ASC LIMIT 1 ) AS T2 ON T1.productCode = T2.productCode'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/
1,560
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/ ### Question Please calculate the total value of Motorcycles orders. Clarification: Motorcycle is a product line; total value = SUM(MULTIPLY(quantityOrdered, priceEach));
[query_database(**{'query': 'SELECT SUM(T1.quantityOrdered * T1.priceEach) FROM orderdetails AS T1 INNER JOIN products AS T2 ON T1.productCode = T2.productCode WHERE T2.productLine = 'Motorcycles''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/
1,564
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/ ### Question How many sales representatives who have office code is 1? Clarification: sales representative refers to jobTitle = 'Sales Rep';
[query_database(**{'query': 'SELECT COUNT(officeCode) FROM employees WHERE jobTitle = 'Sales Rep' AND officeCode = 1'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/ ### Question Please list the name and phone number of the customer whose order was cancelled. Clarification: cancelled order refers to status = 'Cancelled';
[query_database(**{'query': 'SELECT T2.customerName, T2.phone FROM orders AS T1 INNER JOIN customers AS T2 ON T1.customerNumber = T2.customerNumber WHERE T1.status = 'Cancelled''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/ ### Question List out full name of employees who are working in Tokyo? Clarification: Tokyo is a city; full name = firstName+lastName;
[query_database(**{'query': 'SELECT T1.firstName, T1.lastName FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T2.city = 'Tokyo''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/
1,575
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/ ### Question How many Sales Manager who are working in Sydney? List out their email. Clarification: Sales Manager is a job title; Sydney is a city;
[query_database(**{'query': 'SELECT T1.email FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T1.jobTitle LIKE '%Sales Manager%' AND T2.city = 'Sydney''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/
1,579
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/ ### Question List out 3 customer numbers who have highest amount payment Clarification: amount of payment refers to amount;
[query_database(**{'query': 'SELECT customerNumber FROM payments ORDER BY amount DESC LIMIT 3'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/ ### Question How many customers who are in Norway and have credit line under 220000? Clarification: Norway is a country; credit line refers to creditLimit; creditLimit<220000;
[query_database(**{'query': 'SELECT COUNT(creditLimit) FROM customers WHERE creditLimit < 220000 AND country = 'Norway''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/
1,587
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/ ### Question From 2003 to 2004, how many customers have paid more than three times? Clarification: paymentdate BETWEEN '2003-01-01' AND '2004-12-31'; customers who have paid more than three times refers to (COUNT(customernumber)>3);
[query_database(**{'query': 'SELECT COUNT(customernumber) FROM ( SELECT customernumber FROM payments WHERE STRFTIME('%Y', paymentDate) >= '2003' AND STRFTIME('%Y', paymentDate) <= '2004' GROUP BY customernumber HAVING COUNT(customernumber) > 3 ) T'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/
1,591
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/ ### Question For the planes which has the hightest total price, how much it exceeds the average? Clarification: plane is a product line; total price = MULTIPLY(quantityOrdered, priceEach); how much the total price exceeds the average = SUBTRACT(MAX(MULTIPLY(quantityOrdered, priceEach))), AVG(priceEach));
[query_database(**{'query': 'SELECT MAX(quantityOrdered * priceEach) - AVG(priceEach) FROM orderdetails WHERE productCode IN ( SELECT productCode FROM products WHERE productLine = 'Planes' )'})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/
1,595
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/ ### Question What is the total actual profit gained from orders made by American customers from 2003-01-06 to 2005-05-09? Clarification: total actual profit = SUM(SUBTRACT(priceEach, buyPrice)); American is a nationality of country = 'USA'; orderDate BETWEEN '2003-01-06' AND '2005-05-09';
[query_database(**{'query': 'SELECT SUM(T2.priceEach - T1.buyPrice) FROM products AS T1 INNER JOIN orderdetails AS T2 ON T1.productCode = T2.productCode INNER JOIN orders AS T3 ON T2.orderNumber = T3.orderNumber INNER JOIN customers AS T4 ON T3.customerNumber = T4.customerNumber WHERE T3.orderDate > '2003-01-05' AND T3.orderDate < '2005-05-10''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/
1,599
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Bellow is a sequence of instructions describing a question answering task that may require text to sql parsing, using the Sqlite syntax. Generate an appropriate answer to the given question. A question is considered 'Foo' if it can be answered by querying from the database. Strictly follow the required format. In your answer(s), give only the necessary information in a concise way. You must not re generate the input prompt. ### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/ ### Question Of all the orders placed and shipped throughout the year 2005, what percentage of those orders corresponds to customer number 186? Clarification: shipped orders refers to status = 'shipped'; year(shippedDate) = 2005; percentage = DIVIDE(SUM(customerNumber = 186)), COUNT(orderNumber)) as percentage;
[query_database(**{'query': 'SELECT CAST(SUM(CASE WHEN customerNumber = 186 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(orderNumber) FROM orders WHERE status = 'Shipped' AND shippedDate BETWEEN '2005-01-01' AND '2005-12-31''})]
### Instruction 1. Given an SQL script to initialize a database of multiple tables under '### Database Schema' section. Each table is followed by one example row extracted from the database and a ditionary of definitions for further clarifying its column names meaning. 2. A user give you a question under '### Question' section. 3. Determine if the user question is 'Foo'. Base on the given definition of 'Foo'. 4. If the question is 'Foo', generate an SQL query for answering the question and store it in a variable named "sql". Make a function call to an external SQL engine by generating "[query_database(**{'query': sql})]" 5. If the question is not 'Foo'. Generate an answer based on your own reflection. If you don't know the answer, just be honest and don't make up a random answer. ### Database Schema CREATE TABLE offices ( officeCode TEXT not null primary key, city TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, state TEXT, country TEXT not null, postalCode TEXT not null, territory TEXT not null ) /* 1 example row: SELECT * FROM offices LIMIT 1; officeCode || city || phone || addressLine1 ||addressLine2 ||state ||country ||postalCode ||territory 1 ||San Francisco ||+1 650 219 4782 ||100 Market Street || Suite 300 || CA || USA || 94080 || NA */ /* column definitions { "officeCode": "unique ID of the office", "city": "", "phone": "phone number", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "state": "", "country": "country", "postalCode": "postalCode", "territory": "territory" }*/ CREATE TABLE employees ( employeeNumber INTEGER not null primary key, lastName TEXT not null, firstName TEXT not null, extension TEXT not null, email TEXT not null, officeCode TEXT not null, reportsTo INTEGER, jobTitle TEXT not null, foreign key (officeCode) references offices(officeCode), foreign key (reportsTo) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM employees LIMIT 1; employeeNumber ||lastName ||firstName ||extension || email ||officeCode ||reportsTo || jobTitle 1002 || Murphy || Diane || x5800 ||dmurphy@classicmodelcars.com || 1 || None ||President */ /* column definitions { "employeeNumber": "unique string ID of the employees", "lastName": "last name of employees", "firstName": "first name of employees", "extension": "extension number", "email": "email", "officeCode": "office code of the employees", "reportsTo": "represents for organization structure such as who reports to whom", "jobTitle": "job title" }*/ CREATE TABLE customers ( customerNumber INTEGER not null primary key, customerName TEXT not null, contactLastName TEXT not null, contactFirstName TEXT not null, phone TEXT not null, addressLine1 TEXT not null, addressLine2 TEXT, city TEXT not null, state TEXT, postalCode TEXT, country TEXT not null, salesRepEmployeeNumber INTEGER, creditLimit REAL, foreign key (salesRepEmployeeNumber) references employees(employeeNumber) ) /* 1 example row: SELECT * FROM customers LIMIT 1; customerNumber || customerName ||contactLastName ||contactFirstName || phone || addressLine1 ||addressLine2 || city ||state ||postalCode ||country ||salesRepEmployeeNumber ||creditLimit 103 ||Atelier graphique || Schmitt || Carine ||40.32.2555 ||54, rue Royale || None ||Nantes || None || 44000 || France || 1370 || 21000.0 */ /* column definitions { "customerNumber": "unique id number of customer", "customerName": "the name when the customer registered", "contactLastName": "contact last name", "contactFirstName": "contact first name", "phone": "phone", "addressLine1": "addressLine1", "addressLine2": "addressLine2", "city": "city", "state": "state", "postalCode": "postalCode", "country": "country", "salesRepEmployeeNumber": "sales representative employee number", "creditLimit": "credit limit" }*/ CREATE TABLE orders ( orderNumber INTEGER not null primary key, orderDate DATE not null, requiredDate DATE not null, shippedDate DATE, status TEXT not null, comments TEXT, customerNumber INTEGER not null, foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM orders LIMIT 1; orderNumber || orderDate ||requiredDate ||shippedDate || status ||comments ||customerNumber 10100 ||2003-01-06 || 2003-01-13 || 2003-01-10 ||Shipped || None || 363 */ /* column definitions { "orderNumber": "unique order number", "orderDate": "order date", "requiredDate": "required Date", "shippedDate": "shipped Date", "status": "status", "comments": "comments", "customerNumber": "customer number" }*/ CREATE TABLE payments ( customerNumber INTEGER not null, checkNumber TEXT not null, paymentDate DATE not null, amount REAL not null, primary key (customerNumber, checkNumber), foreign key (customerNumber) references customers(customerNumber) ) /* 1 example row: SELECT * FROM payments LIMIT 1; customerNumber ||checkNumber ||paymentDate || amount 103 || HQ336336 || 2004-10-19 ||6066.78 */ /* column definitions { "customerNumber": "customer number", "checkNumber": "check Number", "paymentDate": "payment Date", "amount": "amount" }*/ CREATE TABLE productlines ( productLine TEXT not null primary key, textDescription TEXT, htmlDescription TEXT, image BLOB ) /* 1 example row: SELECT * FROM productlines LIMIT 1; productLine || textDescription ||htmlDescription ||image Classic Cars ||Attention car enthusiasts: Make your wildest car ownership dreams come true. Whether you are looking for classic muscle cars, dream sports cars or movie-inspired miniatures, you will find great choices in this category. These replicas feature superb atten || None || None */ /* column definitions { "productLine": "unique product line name", "textDescription": "text description", "htmlDescription": "html description", "image": "image" }*/ CREATE TABLE products ( productCode TEXT not null primary key, productName TEXT not null, productLine TEXT not null, productScale TEXT not null, productVendor TEXT not null, productDescription TEXT not null, quantityInStock INTEGER not null, buyPrice REAL not null, MSRP REAL not null, foreign key (productLine) references productlines(productLine) ) /* 1 example row: SELECT * FROM products LIMIT 1; productCode || productName ||productLine ||productScale || productVendor || productDescription ||quantityInStock ||buyPrice ||MSRP S10_1678 ||1969 Harley Davidson Ultimate Chopper ||Motorcycles || 1:10 ||Min Lin Diecast ||This replica features working kickstand, front suspension, gear-shift lever, footbrake lever, drive chain, wheels and steering. All parts are particularly delicate due to their precise scale and require special care and attention. || 7933 || 48.81 ||95.7 */ /* column definitions { "productCode": "unique product code", "productName": "product name", "productLine": "product line name", "productScale": "product scale", "productVendor": "product vendor", "productDescription": "product description", "quantityInStock": "quantity in stock ", "buyPrice": "buy price from vendors", "MSRP": "Manufacturer Suggested Retail Price" }*/ CREATE TABLE "orderdetails" ( orderNumber INTEGER not null references orders, productCode TEXT not null references products, quantityOrdered INTEGER not null, priceEach REAL not null, orderLineNumber INTEGER not null, primary key (orderNumber, productCode) ) /* 1 example row: SELECT * FROM orderdetails LIMIT 1; orderNumber ||productCode ||quantityOrdered ||priceEach ||orderLineNumber 10100 || S18_1749 || 30 || 136.0 || 3 */ /* column definitions { "orderNumber": "order number", "productCode": "product code", "quantityOrdered": "quantity ordered", "priceEach": "price for each", "orderLineNumber": "order Line Number" }*/