Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the largest amount of horsepower for the models with 3 cylinders and what make is it?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T2.horsepower ,  T1.Make FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id WHERE T2.cylinders  =  3 ORDER BY T2.horsepower DESC LIMIT 1;</SQL_QUERY>

Question: SELECT T2.horsepower ,  T1.Make FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id WHERE T2.cylinders  =  3 ORDER BY T2.horsepower DESC LIMIT 1;

Question: What is the largest amount of horsepower for the models with 3 cylinders and what make is it?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which model saves the most gasoline? That is to say, have the maximum miles per gallon.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.Model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id ORDER BY T2.mpg DESC LIMIT 1;</SQL_QUERY>

Question: SELECT T1.Model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id ORDER BY T2.mpg DESC LIMIT 1;

Question: Which model saves the most gasoline? That is to say, have the maximum miles per gallon.


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the car model with the highest mpg ?</question>
[SQL]:

Output: <SQL_QUERY>select t1.model from car_names as t1 join cars_data as t2 on t1.makeid  =  t2.id order by t2.mpg desc limit 1;</SQL_QUERY>

Question: select t1.model from car_names as t1 join cars_data as t2 on t1.makeid  =  t2.id order by t2.mpg desc limit 1;

Question: What is the car model with the highest mpg ?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the average horsepower of the cars before 1980?</question>
[SQL]:

Output: <SQL_QUERY>SELECT avg(horsepower) FROM CARS_DATA WHERE YEAR  <  1980;</SQL_QUERY>

Question: SELECT avg(horsepower) FROM CARS_DATA WHERE YEAR  <  1980;

Question: What is the average horsepower of the cars before 1980?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the average horsepower for all cars produced before 1980 ?</question>
[SQL]:

Output: <SQL_QUERY>select avg(horsepower) from cars_data where year  <  1980;</SQL_QUERY>

Question: select avg(horsepower) from cars_data where year  <  1980;

Question: What is the average horsepower for all cars produced before 1980 ?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the average edispl of the cars of model volvo?</question>
[SQL]:

Output: <SQL_QUERY>SELECT avg(T2.edispl) FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id WHERE T1.Model  =  'volvo';</SQL_QUERY>

Question: SELECT avg(T2.edispl) FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id WHERE T1.Model  =  'volvo';

Question: What is the average edispl of the cars of model volvo?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the average edispl for all volvos?</question>
[SQL]:

Output: <SQL_QUERY>SELECT avg(T2.edispl) FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id WHERE T1.Model  =  'volvo';</SQL_QUERY>

Question: SELECT avg(T2.edispl) FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id WHERE T1.Model  =  'volvo';

Question: What is the average edispl for all volvos?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the maximum accelerate for different number of cylinders?</question>
[SQL]:

Output: <SQL_QUERY>SELECT max(Accelerate) ,  Cylinders FROM CARS_DATA GROUP BY Cylinders;</SQL_QUERY>

Question: SELECT max(Accelerate) ,  Cylinders FROM CARS_DATA GROUP BY Cylinders;

Question: What is the maximum accelerate for different number of cylinders?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the maximum accelerate for all the different cylinders?</question>
[SQL]:

Output: <SQL_QUERY>SELECT max(Accelerate) ,  Cylinders FROM CARS_DATA GROUP BY Cylinders;</SQL_QUERY>

Question: SELECT max(Accelerate) ,  Cylinders FROM CARS_DATA GROUP BY Cylinders;

Question: What is the maximum accelerate for all the different cylinders?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which model has the most version(make) of cars?</question>
[SQL]:

Output: <SQL_QUERY>SELECT Model FROM CAR_NAMES GROUP BY Model ORDER BY count(*) DESC LIMIT 1;</SQL_QUERY>

Question: SELECT Model FROM CAR_NAMES GROUP BY Model ORDER BY count(*) DESC LIMIT 1;

Question: Which model has the most version(make) of cars?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What model has the most different versions?</question>
[SQL]:

Output: <SQL_QUERY>SELECT Model FROM CAR_NAMES GROUP BY Model ORDER BY count(*) DESC LIMIT 1;</SQL_QUERY>

Question: SELECT Model FROM CAR_NAMES GROUP BY Model ORDER BY count(*) DESC LIMIT 1;

Question: What model has the most different versions?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many cars have more than 4 cylinders?</question>
[SQL]:

Output: <SQL_QUERY>SELECT count(*) FROM CARS_DATA WHERE Cylinders  >  4;</SQL_QUERY>

Question: SELECT count(*) FROM CARS_DATA WHERE Cylinders  >  4;

Question: How many cars have more than 4 cylinders?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the number of cars with more than 4 cylinders?</question>
[SQL]:

Output: <SQL_QUERY>SELECT count(*) FROM CARS_DATA WHERE Cylinders  >  4;</SQL_QUERY>

Question: SELECT count(*) FROM CARS_DATA WHERE Cylinders  >  4;

Question: What is the number of cars with more than 4 cylinders?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>how many cars were produced in 1980?</question>
[SQL]:

Output: <SQL_QUERY>SELECT count(*) FROM CARS_DATA WHERE YEAR  =  1980;</SQL_QUERY>

Question: SELECT count(*) FROM CARS_DATA WHERE YEAR  =  1980;

Question: how many cars were produced in 1980?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>In 1980, how many cars were made?</question>
[SQL]:

Output: <SQL_QUERY>SELECT count(*) FROM CARS_DATA WHERE YEAR  =  1980;</SQL_QUERY>

Question: SELECT count(*) FROM CARS_DATA WHERE YEAR  =  1980;

Question: In 1980, how many cars were made?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many car models were produced by the maker with full name American Motor Company?</question>
[SQL]:

Output: <SQL_QUERY>SELECT count(*) FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker WHERE T1.FullName  =  'American Motor Company';</SQL_QUERY>

Question: SELECT count(*) FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker WHERE T1.FullName  =  'American Motor Company';

Question: How many car models were produced by the maker with full name American Motor Company?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the number of car models created by the car maker American Motor Company?</question>
[SQL]:

Output: <SQL_QUERY>SELECT count(*) FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker WHERE T1.FullName  =  'American Motor Company';</SQL_QUERY>

Question: SELECT count(*) FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker WHERE T1.FullName  =  'American Motor Company';

Question: What is the number of car models created by the car maker American Motor Company?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which makers designed more than 3 car models? List full name and the id.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.FullName ,  T1.Id FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker GROUP BY T1.Id HAVING count(*)  >  3;</SQL_QUERY>

Question: SELECT T1.FullName ,  T1.Id FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker GROUP BY T1.Id HAVING count(*)  >  3;

Question: Which makers designed more than 3 car models? List full name and the id.


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the names and ids of all makers with more than 3 models?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.FullName ,  T1.Id FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker GROUP BY T1.Id HAVING count(*)  >  3;</SQL_QUERY>

Question: SELECT T1.FullName ,  T1.Id FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker GROUP BY T1.Id HAVING count(*)  >  3;

Question: What are the names and ids of all makers with more than 3 models?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which distinctive models are produced by maker with the full name General Motors or weighing more than 3500?</question>
[SQL]:

Output: <SQL_QUERY>SELECT DISTINCT T2.Model FROM CAR_NAMES AS T1 JOIN MODEL_LIST AS T2 ON T1.Model  =  T2.Model JOIN CAR_MAKERS AS T3 ON T2.Maker  =  T3.Id JOIN CARS_DATA AS T4 ON T1.MakeId  =  T4.Id WHERE T3.FullName  =  'General Motors' OR T4.weight  >  3500;</SQL_QUERY>

Question: SELECT DISTINCT T2.Model FROM CAR_NAMES AS T1 JOIN MODEL_LIST AS T2 ON T1.Model  =  T2.Model JOIN CAR_MAKERS AS T3 ON T2.Maker  =  T3.Id JOIN CARS_DATA AS T4 ON T1.MakeId  =  T4.Id WHERE T3.FullName  =  'General Motors' OR T4.weight  >  3500;

Question: Which distinctive models are produced by maker with the full name General Motors or weighing more than 3500?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the different models created by either the car maker General Motors or weighed more than 3500?</question>
[SQL]:

Output: <SQL_QUERY>SELECT DISTINCT T2.Model FROM CAR_NAMES AS T1 JOIN MODEL_LIST AS T2 ON T1.Model  =  T2.Model JOIN CAR_MAKERS AS T3 ON T2.Maker  =  T3.Id JOIN CARS_DATA AS T4 ON T1.MakeId  =  T4.Id WHERE T3.FullName  =  'General Motors' OR T4.weight  >  3500;</SQL_QUERY>

Question: SELECT DISTINCT T2.Model FROM CAR_NAMES AS T1 JOIN MODEL_LIST AS T2 ON T1.Model  =  T2.Model JOIN CAR_MAKERS AS T3 ON T2.Maker  =  T3.Id JOIN CARS_DATA AS T4 ON T1.MakeId  =  T4.Id WHERE T3.FullName  =  'General Motors' OR T4.weight  >  3500;

Question: What are the different models created by either the car maker General Motors or weighed more than 3500?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>In which years cars were produced weighing no less than 3000 and no more than 4000 ?</question>
[SQL]:

Output: <SQL_QUERY>select distinct year from cars_data where weight between 3000 and 4000;</SQL_QUERY>

Question: select distinct year from cars_data where weight between 3000 and 4000;

Question: In which years cars were produced weighing no less than 3000 and no more than 4000 ?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the different years in which there were cars produced that weighed less than 4000 and also cars that weighted more than 3000 ?</question>
[SQL]:

Output: <SQL_QUERY>select distinct year from cars_data where weight between 3000 and 4000;</SQL_QUERY>

Question: select distinct year from cars_data where weight between 3000 and 4000;

Question: What are the different years in which there were cars produced that weighed less than 4000 and also cars that weighted more than 3000 ?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the horsepower of the car with the largest accelerate?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.horsepower FROM CARS_DATA AS T1 ORDER BY T1.accelerate DESC LIMIT 1;</SQL_QUERY>

Question: SELECT T1.horsepower FROM CARS_DATA AS T1 ORDER BY T1.accelerate DESC LIMIT 1;

Question: What is the horsepower of the car with the largest accelerate?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the horsepower of the car with the greatest accelerate?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.horsepower FROM CARS_DATA AS T1 ORDER BY T1.accelerate DESC LIMIT 1;</SQL_QUERY>

Question: SELECT T1.horsepower FROM CARS_DATA AS T1 ORDER BY T1.accelerate DESC LIMIT 1;

Question: What is the horsepower of the car with the greatest accelerate?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>For model volvo, how many cylinders does the car with the least accelerate have?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.cylinders FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id  =  T2.MakeId WHERE T2.Model  =  'volvo' ORDER BY T1.accelerate ASC LIMIT 1;</SQL_QUERY>

Question: SELECT T1.cylinders FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id  =  T2.MakeId WHERE T2.Model  =  'volvo' ORDER BY T1.accelerate ASC LIMIT 1;

Question: For model volvo, how many cylinders does the car with the least accelerate have?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>For a volvo model, how many cylinders does the version with least accelerate have?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.cylinders FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id  =  T2.MakeId WHERE T2.Model  =  'volvo' ORDER BY T1.accelerate ASC LIMIT 1;</SQL_QUERY>

Question: SELECT T1.cylinders FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id  =  T2.MakeId WHERE T2.Model  =  'volvo' ORDER BY T1.accelerate ASC LIMIT 1;

Question: For a volvo model, how many cylinders does the version with least accelerate have?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many cars have a larger accelerate than the car with the largest horsepower?</question>
[SQL]:

Output: <SQL_QUERY>SELECT COUNT(*) FROM CARS_DATA WHERE Accelerate  >  ( SELECT Accelerate FROM CARS_DATA ORDER BY Horsepower DESC LIMIT 1 );</SQL_QUERY>

Question: SELECT COUNT(*) FROM CARS_DATA WHERE Accelerate  >  ( SELECT Accelerate FROM CARS_DATA ORDER BY Horsepower DESC LIMIT 1 );

Question: How many cars have a larger accelerate than the car with the largest horsepower?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the number of cars with a greater accelerate than the one with the most horsepower?</question>
[SQL]:

Output: <SQL_QUERY>SELECT COUNT(*) FROM CARS_DATA WHERE Accelerate  >  ( SELECT Accelerate FROM CARS_DATA ORDER BY Horsepower DESC LIMIT 1 );</SQL_QUERY>

Question: SELECT COUNT(*) FROM CARS_DATA WHERE Accelerate  >  ( SELECT Accelerate FROM CARS_DATA ORDER BY Horsepower DESC LIMIT 1 );

Question: What is the number of cars with a greater accelerate than the one with the most horsepower?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many countries has more than 2 car makers ?</question>
[SQL]:

Output: <SQL_QUERY>select count(*) from countries as t1 join car_makers as t2 on t1.countryid  =  t2.country group by t1.countryid having count(*)  >  2</SQL_QUERY>

Question: select count(*) from countries as t1 join car_makers as t2 on t1.countryid  =  t2.country group by t1.countryid having count(*)  >  2

Question: How many countries has more than 2 car makers ?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the number of countries with more than 2 car makers ?</question>
[SQL]:

Output: <SQL_QUERY>select count(*) from countries as t1 join car_makers as t2 on t1.countryid  =  t2.country group by t1.countryid having count(*)  >  2</SQL_QUERY>

Question: select count(*) from countries as t1 join car_makers as t2 on t1.countryid  =  t2.country group by t1.countryid having count(*)  >  2

Question: What is the number of countries with more than 2 car makers ?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many cars has over 6 cylinders?</question>
[SQL]:

Output: <SQL_QUERY>SELECT COUNT(*) FROM CARS_DATA WHERE Cylinders  >  6;</SQL_QUERY>

Question: SELECT COUNT(*) FROM CARS_DATA WHERE Cylinders  >  6;

Question: How many cars has over 6 cylinders?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the number of carsw ith over 6 cylinders?</question>
[SQL]:

Output: <SQL_QUERY>SELECT COUNT(*) FROM CARS_DATA WHERE Cylinders  >  6;</SQL_QUERY>

Question: SELECT COUNT(*) FROM CARS_DATA WHERE Cylinders  >  6;

Question: What is the number of carsw ith over 6 cylinders?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>For the cars with 4 cylinders, which model has the largest horsepower?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.Model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id WHERE T2.Cylinders  =  4 ORDER BY T2.horsepower DESC LIMIT 1;</SQL_QUERY>

Question: SELECT T1.Model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id WHERE T2.Cylinders  =  4 ORDER BY T2.horsepower DESC LIMIT 1;

Question: For the cars with 4 cylinders, which model has the largest horsepower?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>For all of the 4 cylinder cars, which model has the most horsepower?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.Model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id WHERE T2.Cylinders  =  4 ORDER BY T2.horsepower DESC LIMIT 1;</SQL_QUERY>

Question: SELECT T1.Model FROM CAR_NAMES AS T1 JOIN CARS_DATA AS T2 ON T1.MakeId  =  T2.Id WHERE T2.Cylinders  =  4 ORDER BY T2.horsepower DESC LIMIT 1;

Question: For all of the 4 cylinder cars, which model has the most horsepower?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>Among the cars with more than lowest horsepower, which ones do not have more than 3 cylinders? List the car makeid and make name.</question>
[SQL]:

Output: <SQL_QUERY>SELECT T2.MakeId ,  T2.Make FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id  =  T2.MakeId WHERE T1.Horsepower  >  (SELECT min(Horsepower) FROM CARS_DATA) AND T1.Cylinders  <=  3;</SQL_QUERY>

Question: SELECT T2.MakeId ,  T2.Make FROM CARS_DATA AS T1 JOIN CAR_NAMES AS T2 ON T1.Id  =  T2.MakeId WHERE T1.Horsepower  >  (SELECT min(Horsepower) FROM CARS_DATA) AND T1.Cylinders  <=  3;

Question: Among the cars with more than lowest horsepower, which ones do not have more than 3 cylinders? List the car makeid and make name.


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>Among the cars that do not have the minimum horsepower , what are the make ids and names of all those with less than 4 cylinders ?</question>
[SQL]:

Output: <SQL_QUERY>select t2.makeid ,  t2.make from cars_data as t1 join car_names as t2 on t1.id  =  t2.makeid where t1.horsepower  >  (select min(horsepower) from cars_data) and t1.cylinders  <  4;</SQL_QUERY>

Question: select t2.makeid ,  t2.make from cars_data as t1 join car_names as t2 on t1.id  =  t2.makeid where t1.horsepower  >  (select min(horsepower) from cars_data) and t1.cylinders  <  4;

Question: Among the cars that do not have the minimum horsepower , what are the make ids and names of all those with less than 4 cylinders ?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the maximum miles per gallon of the car with 8 cylinders or produced before 1980 ?</question>
[SQL]:

Output: <SQL_QUERY>select max(mpg) from cars_data where cylinders  =  8 or year  <  1980</SQL_QUERY>

Question: select max(mpg) from cars_data where cylinders  =  8 or year  <  1980

Question: What is the maximum miles per gallon of the car with 8 cylinders or produced before 1980 ?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the maximum mpg of the cars that had 8 cylinders or that were produced before 1980 ?</question>
[SQL]:

Output: <SQL_QUERY>select max(mpg) from cars_data where cylinders  =  8 or year  <  1980</SQL_QUERY>

Question: select max(mpg) from cars_data where cylinders  =  8 or year  <  1980

Question: What is the maximum mpg of the cars that had 8 cylinders or that were produced before 1980 ?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which models are lighter than 3500 but not built by the 'Ford Motor Company'?</question>
[SQL]:

Output: <SQL_QUERY>SELECT DISTINCT T1.model FROM MODEL_LIST AS T1 JOIN CAR_NAMES AS T2 ON T1.Model  =  T2.Model JOIN CARS_DATA AS T3 ON T2.MakeId  =  T3.Id JOIN CAR_MAKERS AS T4 ON T1.Maker  =  T4.Id WHERE T3.weight  <  3500 AND T4.FullName != 'Ford Motor Company';</SQL_QUERY>

Question: SELECT DISTINCT T1.model FROM MODEL_LIST AS T1 JOIN CAR_NAMES AS T2 ON T1.Model  =  T2.Model JOIN CARS_DATA AS T3 ON T2.MakeId  =  T3.Id JOIN CAR_MAKERS AS T4 ON T1.Maker  =  T4.Id WHERE T3.weight  <  3500 AND T4.FullName != 'Ford Motor Company';

Question: Which models are lighter than 3500 but not built by the 'Ford Motor Company'?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the different models wthat are lighter than 3500 but were not built by the Ford Motor Company?</question>
[SQL]:

Output: <SQL_QUERY>SELECT DISTINCT T1.model FROM MODEL_LIST AS T1 JOIN CAR_NAMES AS T2 ON T1.Model  =  T2.Model JOIN CARS_DATA AS T3 ON T2.MakeId  =  T3.Id JOIN CAR_MAKERS AS T4 ON T1.Maker  =  T4.Id WHERE T3.weight  <  3500 AND T4.FullName != 'Ford Motor Company';</SQL_QUERY>

Question: SELECT DISTINCT T1.model FROM MODEL_LIST AS T1 JOIN CAR_NAMES AS T2 ON T1.Model  =  T2.Model JOIN CARS_DATA AS T3 ON T2.MakeId  =  T3.Id JOIN CAR_MAKERS AS T4 ON T1.Maker  =  T4.Id WHERE T3.weight  <  3500 AND T4.FullName != 'Ford Motor Company';

Question: What are the different models wthat are lighter than 3500 but were not built by the Ford Motor Company?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the name of the countries where there is not a single car maker?</question>
[SQL]:

Output: <SQL_QUERY>SELECT CountryName FROM countries EXCEPT SELECT T1.CountryName FROM countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.countryId  =  T2.Country;</SQL_QUERY>

Question: SELECT CountryName FROM countries EXCEPT SELECT T1.CountryName FROM countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.countryId  =  T2.Country;

Question: What are the name of the countries where there is not a single car maker?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the names of the countries with no car makers?</question>
[SQL]:

Output: <SQL_QUERY>SELECT CountryName FROM countries EXCEPT SELECT T1.CountryName FROM countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.countryId  =  T2.Country;</SQL_QUERY>

Question: SELECT CountryName FROM countries EXCEPT SELECT T1.CountryName FROM countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.countryId  =  T2.Country;

Question: What are the names of the countries with no car makers?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which are the car makers which produce at least 2 models and more than 3 car makers ? List the id and the maker .</question>
[SQL]:

Output: <SQL_QUERY>select t1.id ,  t1.maker from car_makers as t1 join model_list as t2 on t1.id  =  t2.maker group by t1.id having count(*)  >=  2 intersect select t1.id ,  t1.maker from car_makers as t1 join model_list as t2 on t1.id  =  t2.maker join car_names as t3 on t2.model  =  t3.model group by t1.id having count(*)  >  3;</SQL_QUERY>

Question: select t1.id ,  t1.maker from car_makers as t1 join model_list as t2 on t1.id  =  t2.maker group by t1.id having count(*)  >=  2 intersect select t1.id ,  t1.maker from car_makers as t1 join model_list as t2 on t1.id  =  t2.maker join car_names as t3 on t2.model  =  t3.model group by t1.id having count(*)  >  3;

Question: Which are the car makers which produce at least 2 models and more than 3 car makers ? List the id and the maker .


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the ids and makers of all car makers that produce at least 2 models and make more than 3 cars?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.Id ,  T1.Maker FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker GROUP BY T1.Id HAVING count(*)  >=  2 INTERSECT SELECT T1.Id ,  T1.Maker FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker JOIN CAR_NAMES AS T3 ON T2.model  =  T3.model GROUP BY T1.Id HAVING count(*)  >  3;</SQL_QUERY>

Question: SELECT T1.Id ,  T1.Maker FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker GROUP BY T1.Id HAVING count(*)  >=  2 INTERSECT SELECT T1.Id ,  T1.Maker FROM CAR_MAKERS AS T1 JOIN MODEL_LIST AS T2 ON T1.Id  =  T2.Maker JOIN CAR_NAMES AS T3 ON T2.model  =  T3.model GROUP BY T1.Id HAVING count(*)  >  3;

Question: What are the ids and makers of all car makers that produce at least 2 models and make more than 3 cars?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the id and names of the countries which have more than 3 car makers or produce the 'fiat' model?</question>
[SQL]:

Output: <SQL_QUERY>SELECT T1.countryId ,  T1.CountryName FROM Countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId  =  T2.Country GROUP BY T1.countryId HAVING count(*)  >  3 UNION SELECT T1.countryId ,  T1.CountryName FROM Countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId  =  T2.Country JOIN MODEL_LIST AS T3 ON T2.Id  =  T3.Maker WHERE T3.Model  =  'fiat';</SQL_QUERY>

Question: SELECT T1.countryId ,  T1.CountryName FROM Countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId  =  T2.Country GROUP BY T1.countryId HAVING count(*)  >  3 UNION SELECT T1.countryId ,  T1.CountryName FROM Countries AS T1 JOIN CAR_MAKERS AS T2 ON T1.CountryId  =  T2.Country JOIN MODEL_LIST AS T3 ON T2.Id  =  T3.Maker WHERE T3.Model  =  'fiat';

Question: What are the id and names of the countries which have more than 3 car makers or produce the 'fiat' model?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | car_1 |  continents : contid (text) , continent (number) | countries : countryid (text) , countryname (number) , continent (text) | car_makers : id (text) , maker (number) , fullname (text) , country (number) | model_list : modelid (text) , maker (number) , model (text) | car_names : makeid (text) , model (number) , make (text) | cars_data : id (text) , mpg (number) , cylinders (text) , edispl (number) , horsepower (text) , weight (number) , accelerate (number) , year (text);</schema>"
<primary_keys>[Primary Keys]: continents : contid, countries : countryid, car_makers : id, model_list : modelid, car_names : makeid, cars_data : id</primary_keys>"
<foreign_keys>[Foreign Keys]: countries : continent = continents : contid | car_makers : country = countries : countryid | model_list : maker = car_makers : id | car_names : model = model_list : model | cars_data : id = car_names : makeid</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the ids and names of all countries that either have more than 3 car makers or produce fiat model ?</question>
[SQL]:

Output: <SQL_QUERY>select t1.countryid ,  t1.countryname from countries as t1 join car_makers as t2 on t1.countryid  =  t2.country group by t1.countryid having count(*)  >  3 union select t1.countryid ,  t1.countryname from countries as t1 join car_makers as t2 on t1.countryid  =  t2.country join model_list as t3 on t2.id  =  t3.maker where t3.model  =  'fiat';</SQL_QUERY>

Question: select t1.countryid ,  t1.countryname from countries as t1 join car_makers as t2 on t1.countryid  =  t2.country group by t1.countryid having count(*)  >  3 union select t1.countryid ,  t1.countryname from countries as t1 join car_makers as t2 on t1.countryid  =  t2.country join model_list as t3 on t2.id  =  t3.maker where t3.model  =  'fiat';

Question: What are the ids and names of all countries that either have more than 3 car makers or produce fiat model ?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | flight_2 |  airlines : uid (text) , airline (number) , abbreviation (text) , country (text) | airports : city (text) , airportcode (number) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (text) , flightno (number) , sourceairport (text) , destairport (text);</schema>"
<primary_keys>[Primary Keys]: airlines : uid, airports : airportcode, flights : airline</primary_keys>"
<foreign_keys>[Foreign Keys]: flights : destairport = airports : airportcode | flights : sourceairport = airports : airportcode</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which country does Airline "JetBlue Airways" belong to?</question>
[SQL]:

Output: <SQL_QUERY>SELECT Country FROM AIRLINES WHERE Airline  =  "JetBlue Airways"</SQL_QUERY>

Question: SELECT Country FROM AIRLINES WHERE Airline  =  "JetBlue Airways"

Question: Which country does Airline "JetBlue Airways" belong to?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | flight_2 |  airlines : uid (text) , airline (number) , abbreviation (text) , country (text) | airports : city (text) , airportcode (number) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (text) , flightno (number) , sourceairport (text) , destairport (text);</schema>"
<primary_keys>[Primary Keys]: airlines : uid, airports : airportcode, flights : airline</primary_keys>"
<foreign_keys>[Foreign Keys]: flights : destairport = airports : airportcode | flights : sourceairport = airports : airportcode</foreign_keys>"
Answer the following question with a SQL Statement:<question>What country is Jetblue Airways affiliated with?</question>
[SQL]:

Output: <SQL_QUERY>SELECT Country FROM AIRLINES WHERE Airline  =  "JetBlue Airways"</SQL_QUERY>

Question: SELECT Country FROM AIRLINES WHERE Airline  =  "JetBlue Airways"

Question: What country is Jetblue Airways affiliated with?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | flight_2 |  airlines : uid (text) , airline (number) , abbreviation (text) , country (text) | airports : city (text) , airportcode (number) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (text) , flightno (number) , sourceairport (text) , destairport (text);</schema>"
<primary_keys>[Primary Keys]: airlines : uid, airports : airportcode, flights : airline</primary_keys>"
<foreign_keys>[Foreign Keys]: flights : destairport = airports : airportcode | flights : sourceairport = airports : airportcode</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the abbreviation of Airline "JetBlue Airways"?</question>
[SQL]:

Output: <SQL_QUERY>SELECT Abbreviation FROM AIRLINES WHERE Airline  =  "JetBlue Airways"</SQL_QUERY>

Question: SELECT Abbreviation FROM AIRLINES WHERE Airline  =  "JetBlue Airways"

Question: What is the abbreviation of Airline "JetBlue Airways"?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | flight_2 |  airlines : uid (text) , airline (number) , abbreviation (text) , country (text) | airports : city (text) , airportcode (number) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (text) , flightno (number) , sourceairport (text) , destairport (text);</schema>"
<primary_keys>[Primary Keys]: airlines : uid, airports : airportcode, flights : airline</primary_keys>"
<foreign_keys>[Foreign Keys]: flights : destairport = airports : airportcode | flights : sourceairport = airports : airportcode</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which abbreviation corresponds to Jetblue Airways?</question>
[SQL]:

Output: <SQL_QUERY>SELECT Abbreviation FROM AIRLINES WHERE Airline  =  "JetBlue Airways"</SQL_QUERY>

Question: SELECT Abbreviation FROM AIRLINES WHERE Airline  =  "JetBlue Airways"

Question: Which abbreviation corresponds to Jetblue Airways?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | flight_2 |  airlines : uid (text) , airline (number) , abbreviation (text) , country (text) | airports : city (text) , airportcode (number) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (text) , flightno (number) , sourceairport (text) , destairport (text);</schema>"
<primary_keys>[Primary Keys]: airlines : uid, airports : airportcode, flights : airline</primary_keys>"
<foreign_keys>[Foreign Keys]: flights : destairport = airports : airportcode | flights : sourceairport = airports : airportcode</foreign_keys>"
Answer the following question with a SQL Statement:<question>List all airline names and their abbreviations in "USA".</question>
[SQL]:

Output: <SQL_QUERY>SELECT Airline ,  Abbreviation FROM AIRLINES WHERE Country  =  "USA"</SQL_QUERY>

Question: SELECT Airline ,  Abbreviation FROM AIRLINES WHERE Country  =  "USA"

Question: List all airline names and their abbreviations in "USA".


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | flight_2 |  airlines : uid (text) , airline (number) , abbreviation (text) , country (text) | airports : city (text) , airportcode (number) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (text) , flightno (number) , sourceairport (text) , destairport (text);</schema>"
<primary_keys>[Primary Keys]: airlines : uid, airports : airportcode, flights : airline</primary_keys>"
<foreign_keys>[Foreign Keys]: flights : destairport = airports : airportcode | flights : sourceairport = airports : airportcode</foreign_keys>"
Answer the following question with a SQL Statement:<question>What are the airline names and abbreviations for airlines in the USA?</question>
[SQL]:

Output: <SQL_QUERY>SELECT Airline ,  Abbreviation FROM AIRLINES WHERE Country  =  "USA"</SQL_QUERY>

Question: SELECT Airline ,  Abbreviation FROM AIRLINES WHERE Country  =  "USA"

Question: What are the airline names and abbreviations for airlines in the USA?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | flight_2 |  airlines : uid (text) , airline (number) , abbreviation (text) , country (text) | airports : city (text) , airportcode (number) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (text) , flightno (number) , sourceairport (text) , destairport (text);</schema>"
<primary_keys>[Primary Keys]: airlines : uid, airports : airportcode, flights : airline</primary_keys>"
<foreign_keys>[Foreign Keys]: flights : destairport = airports : airportcode | flights : sourceairport = airports : airportcode</foreign_keys>"
Answer the following question with a SQL Statement:<question>List the airport code and name in the city of Anthony.</question>
[SQL]:

Output: <SQL_QUERY>SELECT AirportCode ,  AirportName FROM AIRPORTS WHERE city  =  "Anthony"</SQL_QUERY>

Question: SELECT AirportCode ,  AirportName FROM AIRPORTS WHERE city  =  "Anthony"

Question: List the airport code and name in the city of Anthony.


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | flight_2 |  airlines : uid (text) , airline (number) , abbreviation (text) , country (text) | airports : city (text) , airportcode (number) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (text) , flightno (number) , sourceairport (text) , destairport (text);</schema>"
<primary_keys>[Primary Keys]: airlines : uid, airports : airportcode, flights : airline</primary_keys>"
<foreign_keys>[Foreign Keys]: flights : destairport = airports : airportcode | flights : sourceairport = airports : airportcode</foreign_keys>"
Answer the following question with a SQL Statement:<question>Give the airport code and airport name corresonding to the city Anthony.</question>
[SQL]:

Output: <SQL_QUERY>SELECT AirportCode ,  AirportName FROM AIRPORTS WHERE city  =  "Anthony"</SQL_QUERY>

Question: SELECT AirportCode ,  AirportName FROM AIRPORTS WHERE city  =  "Anthony"

Question: Give the airport code and airport name corresonding to the city Anthony.


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | flight_2 |  airlines : uid (text) , airline (number) , abbreviation (text) , country (text) | airports : city (text) , airportcode (number) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (text) , flightno (number) , sourceairport (text) , destairport (text);</schema>"
<primary_keys>[Primary Keys]: airlines : uid, airports : airportcode, flights : airline</primary_keys>"
<foreign_keys>[Foreign Keys]: flights : destairport = airports : airportcode | flights : sourceairport = airports : airportcode</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many airlines do we have?</question>
[SQL]:

Output: <SQL_QUERY>SELECT count(*) FROM AIRLINES</SQL_QUERY>

Question: SELECT count(*) FROM AIRLINES

Question: How many airlines do we have?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | flight_2 |  airlines : uid (text) , airline (number) , abbreviation (text) , country (text) | airports : city (text) , airportcode (number) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (text) , flightno (number) , sourceairport (text) , destairport (text);</schema>"
<primary_keys>[Primary Keys]: airlines : uid, airports : airportcode, flights : airline</primary_keys>"
<foreign_keys>[Foreign Keys]: flights : destairport = airports : airportcode | flights : sourceairport = airports : airportcode</foreign_keys>"
Answer the following question with a SQL Statement:<question>What is the total number of airlines?</question>
[SQL]:

Output: <SQL_QUERY>SELECT count(*) FROM AIRLINES</SQL_QUERY>

Question: SELECT count(*) FROM AIRLINES

Question: What is the total number of airlines?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | flight_2 |  airlines : uid (text) , airline (number) , abbreviation (text) , country (text) | airports : city (text) , airportcode (number) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (text) , flightno (number) , sourceairport (text) , destairport (text);</schema>"
<primary_keys>[Primary Keys]: airlines : uid, airports : airportcode, flights : airline</primary_keys>"
<foreign_keys>[Foreign Keys]: flights : destairport = airports : airportcode | flights : sourceairport = airports : airportcode</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many airports do we have?</question>
[SQL]:

Output: <SQL_QUERY>SELECT count(*) FROM AIRPORTS</SQL_QUERY>

Question: SELECT count(*) FROM AIRPORTS

Question: How many airports do we have?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | flight_2 |  airlines : uid (text) , airline (number) , abbreviation (text) , country (text) | airports : city (text) , airportcode (number) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (text) , flightno (number) , sourceairport (text) , destairport (text);</schema>"
<primary_keys>[Primary Keys]: airlines : uid, airports : airportcode, flights : airline</primary_keys>"
<foreign_keys>[Foreign Keys]: flights : destairport = airports : airportcode | flights : sourceairport = airports : airportcode</foreign_keys>"
Answer the following question with a SQL Statement:<question>Return the number of  airports.</question>
[SQL]:

Output: <SQL_QUERY>SELECT count(*) FROM AIRPORTS</SQL_QUERY>

Question: SELECT count(*) FROM AIRPORTS

Question: Return the number of  airports.


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | flight_2 |  airlines : uid (text) , airline (number) , abbreviation (text) , country (text) | airports : city (text) , airportcode (number) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (text) , flightno (number) , sourceairport (text) , destairport (text);</schema>"
<primary_keys>[Primary Keys]: airlines : uid, airports : airportcode, flights : airline</primary_keys>"
<foreign_keys>[Foreign Keys]: flights : destairport = airports : airportcode | flights : sourceairport = airports : airportcode</foreign_keys>"
Answer the following question with a SQL Statement:<question>How many flights do we have?</question>
[SQL]:

Output: <SQL_QUERY>SELECT count(*) FROM FLIGHTS</SQL_QUERY>

Question: SELECT count(*) FROM FLIGHTS

Question: How many flights do we have?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | flight_2 |  airlines : uid (text) , airline (number) , abbreviation (text) , country (text) | airports : city (text) , airportcode (number) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (text) , flightno (number) , sourceairport (text) , destairport (text);</schema>"
<primary_keys>[Primary Keys]: airlines : uid, airports : airportcode, flights : airline</primary_keys>"
<foreign_keys>[Foreign Keys]: flights : destairport = airports : airportcode | flights : sourceairport = airports : airportcode</foreign_keys>"
Answer the following question with a SQL Statement:<question>Return the number of flights.</question>
[SQL]:

Output: <SQL_QUERY>SELECT count(*) FROM FLIGHTS</SQL_QUERY>

Question: SELECT count(*) FROM FLIGHTS

Question: Return the number of flights.


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | flight_2 |  airlines : uid (text) , airline (number) , abbreviation (text) , country (text) | airports : city (text) , airportcode (number) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (text) , flightno (number) , sourceairport (text) , destairport (text);</schema>"
<primary_keys>[Primary Keys]: airlines : uid, airports : airportcode, flights : airline</primary_keys>"
<foreign_keys>[Foreign Keys]: flights : destairport = airports : airportcode | flights : sourceairport = airports : airportcode</foreign_keys>"
Answer the following question with a SQL Statement:<question>Which airline has abbreviation 'UAL'?</question>
[SQL]:

Output: <SQL_QUERY>SELECT Airline FROM AIRLINES WHERE Abbreviation  =  "UAL"</SQL_QUERY>

Question: SELECT Airline FROM AIRLINES WHERE Abbreviation  =  "UAL"

Question: Which airline has abbreviation 'UAL'?


Input:
This is a task converting text into SQL statements. We will first give the dataset schema and column types, primary keys and foreign keys and then ask a question in text. You are asked to generate SQL statement in SQLite.
 <schema>[Schema (values) (types)]: | flight_2 |  airlines : uid (text) , airline (number) , abbreviation (text) , country (text) | airports : city (text) , airportcode (number) , airportname (text) , country (text) , countryabbrev (text) | flights : airline (text) , flightno (number) , sourceairport (text) , destairport (text);</schema>"
<primary_keys>[Primary Keys]: airlines : uid, airports : airportcode, flights : airline</primary_keys>"
<foreign_keys>[Foreign Keys]: flights : destairport = airports : airportcode | flights : sourceairport = airports : airportcode</foreign_keys>"
Answer the following question with a SQL Statement:<question>Give the airline with abbreviation 'UAL'.</question>
[SQL]:

Output: <SQL_QUERY>SELECT Airline FROM AIRLINES WHERE Abbreviation  =  "UAL"</SQL_QUERY>

Question: SELECT Airline FROM AIRLINES WHERE Abbreviation  =  "UAL"

Question: Give the airline with abbreviation 'UAL'.