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department_management | SELECT count(*) FROM head WHERE age > 56 | How many heads of the departments are older than 56 ? | [
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department_management | SELECT name , born_state , age FROM head ORDER BY age | List the name, born state and age of the heads of departments ordered by age. | [
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department_management | SELECT creation , name , budget_in_billions FROM department | List the creation year, name and budget of each department. | [
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department_management | SELECT max(budget_in_billions) , min(budget_in_billions) FROM department | What are the maximum and minimum budget of the departments? | [
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department_management | SELECT avg(num_employees) FROM department WHERE ranking BETWEEN 10 AND 15 | What is the average number of employees of the departments whose rank is between 10 and 15? | [
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department_management | SELECT name FROM head WHERE born_state != 'California' | What are the names of the heads who are born outside the California state? | [
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department_management | SELECT DISTINCT T1.creation FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = T3.head_id WHERE T3.born_state = 'Alabama' | What are the distinct creation years of the departments managed by a secretary born in state 'Alabama'? | [
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department_management | SELECT born_state FROM head GROUP BY born_state HAVING count(*) >= 3 | What are the names of the states where at least 3 heads were born? | [
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department_management | SELECT creation FROM department GROUP BY creation ORDER BY count(*) DESC LIMIT 1 | In which year were most departments established? | [
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department_management | SELECT T1.name , T1.num_employees FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id WHERE T2.temporary_acting = 'Yes' | Show the name and number of employees for the departments managed by heads whose temporary acting value is 'Yes'? | [
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department_management | SELECT count(DISTINCT temporary_acting) FROM management | How many acting statuses are there? | [
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department_management | SELECT count(*) FROM department WHERE department_id NOT IN (SELECT department_id FROM management); | How many departments are led by heads who are not mentioned? | [
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department_management | SELECT DISTINCT T1.age FROM management AS T2 JOIN head AS T1 ON T1.head_id = T2.head_id WHERE T2.temporary_acting = 'Yes' | What are the distinct ages of the heads who are acting? | [
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department_management | SELECT T3.born_state FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = T3.head_id WHERE T1.name = 'Treasury' INTERSECT SELECT T3.born_state FROM department AS T1 JOIN management AS T2 ON T1.department_id = T2.department_id JOIN head AS T3 ON T2.head_id = T3.head_id WHERE T1.name = 'Homeland Security' | List the states where both the secretary of 'Treasury' department and the secretary of 'Homeland Security' were born. | [
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department_management | SELECT T1.department_id , T1.name , count(*) FROM management AS T2 JOIN department AS T1 ON T1.department_id = T2.department_id GROUP BY T1.department_id HAVING count(*) > 1 | Which department has more than 1 head at a time? List the id, name and the number of heads. | [
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department_management | SELECT head_id , name FROM head WHERE name LIKE '%Ha%' | Which head's name has the substring 'Ha'? List the id and name. | [
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farm | SELECT count(*) FROM farm | How many farms are there? | [
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farm | SELECT count(*) FROM farm | Count the number of farms. | [
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farm | SELECT Total_Horses FROM farm ORDER BY Total_Horses ASC | List the total number of horses on farms in ascending order. | [
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farm | SELECT Total_Horses FROM farm ORDER BY Total_Horses ASC | What is the total horses record for each farm, sorted ascending? | [
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farm | SELECT Hosts FROM farm_competition WHERE Theme != 'Aliens' | What are the hosts of competitions whose theme is not "Aliens"? | [
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farm | SELECT Hosts FROM farm_competition WHERE Theme != 'Aliens' | Return the hosts of competitions for which the theme is not Aliens? | [
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farm | SELECT Theme FROM farm_competition ORDER BY YEAR ASC | What are the themes of farm competitions sorted by year in ascending order? | [
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farm | SELECT Theme FROM farm_competition ORDER BY YEAR ASC | Return the themes of farm competitions, sorted by year ascending. | [
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farm | SELECT avg(Working_Horses) FROM farm WHERE Total_Horses > 5000 | What is the average number of working horses of farms with more than 5000 total number of horses? | [
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farm | SELECT avg(Working_Horses) FROM farm WHERE Total_Horses > 5000 | Give the average number of working horses on farms with more than 5000 total horses. | [
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farm | SELECT max(Cows) , min(Cows) FROM farm | What are the maximum and minimum number of cows across all farms. | [
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farm | SELECT max(Cows) , min(Cows) FROM farm | Return the maximum and minimum number of cows across all farms. | [
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farm | SELECT count(DISTINCT Status) FROM city | How many different statuses do cities have? | [
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farm | SELECT Official_Name FROM city ORDER BY Population DESC | List official names of cities in descending order of population. | [
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farm | SELECT Official_Name , Status FROM city ORDER BY Population DESC LIMIT 1 | List the official name and status of the city with the largest population. | [
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farm | SELECT T2.Year , T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID | Show the years and the official names of the host cities of competitions. | [
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farm | SELECT T2.Year , T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID | Give the years and official names of the cities of each competition. | [
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farm | SELECT T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID HAVING COUNT(*) > 1 | What are the official names of cities that have hosted more than one competition? | [
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farm | SELECT T1.Status FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID ORDER BY COUNT(*) DESC LIMIT 1 | Show the status of the city that has hosted the greatest number of competitions. | [
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farm | SELECT T2.Theme FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID WHERE T1.Population > 1000 | Please show the themes of competitions with host cities having populations larger than 1000. | [
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farm | SELECT T2.Theme FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID WHERE T1.Population > 1000 | What are the themes of competitions that have corresponding host cities with more than 1000 residents? | [
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farm | SELECT Status , avg(Population) FROM city GROUP BY Status | Please show the different statuses of cities and the average population of cities with each status. | [
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farm | SELECT Status , avg(Population) FROM city GROUP BY Status | What are the statuses and average populations of each city? | [
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farm | SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) DESC LIMIT 1 | List the most common type of Status across cities. | [
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farm | SELECT Status FROM city WHERE Population > 1500 INTERSECT SELECT Status FROM city WHERE Population < 500 | Show the status shared by cities with population bigger than 1500 and smaller than 500. | [
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farm | SELECT Status FROM city WHERE Population > 1500 INTERSECT SELECT Status FROM city WHERE Population < 500 | Which statuses correspond to both cities that have a population over 1500 and cities that have a population lower than 500? | [
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farm | SELECT Census_Ranking FROM city WHERE Status != "Village" | Show the census ranking of cities whose status are not "Village". | [
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student_assessment | SELECT T1.course_name FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_Id GROUP BY T1.course_id ORDER BY count(*) DESC LIMIT 1 | which course has most number of registered students? | [
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student_assessment | SELECT T1.course_name FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_Id GROUP BY T1.course_id ORDER BY count(*) DESC LIMIT 1 | What is the name of the course with the most registered students? | [
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student_assessment | SELECT student_id FROM student_course_registrations GROUP BY student_id ORDER BY count(*) LIMIT 1 | What are the ids of the students who registered for some courses but had the least number of courses for all students? | [
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student_assessment | SELECT T2.first_name , T2.last_name FROM candidates AS T1 JOIN people AS T2 ON T1.candidate_id = T2.person_id | what are the first name and last name of all candidates? | [
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student_assessment | SELECT student_id FROM students WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance) | List the id of students who never attends courses? | [
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student_assessment | SELECT student_id FROM students WHERE student_id NOT IN (SELECT student_id FROM student_course_attendance) | What are the ids of every student who has never attended a course? | [
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student_assessment | SELECT student_id FROM student_course_attendance | What are the ids of all students who have attended at least one course? | [
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student_assessment | SELECT T1.student_id , T2.course_name FROM student_course_registrations AS T1 JOIN courses AS T2 ON T1.course_id = T2.course_id | What are the ids of all students for courses and what are the names of those courses? | [
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student_assessment | SELECT T2.student_details FROM student_course_registrations AS T1 JOIN students AS T2 ON T1.student_id = T2.student_id ORDER BY T1.registration_date DESC LIMIT 1 | What is detail of the student who most recently registered course? | [
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student_assessment | SELECT T2.student_details FROM student_course_registrations AS T1 JOIN students AS T2 ON T1.student_id = T2.student_id ORDER BY T1.registration_date DESC LIMIT 1 | What details do we have on the students who registered for courses most recently? | [
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student_assessment | SELECT count(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "English" | How many students attend course English? | [
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student_assessment | SELECT count(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "English" | How many students are attending English courses? | [
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student_assessment | SELECT count(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T2.student_id = 171 | How many courses do the student whose id is 171 attend? | [
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student_assessment | SELECT count(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T2.student_id = 171 | How many courses does the student with id 171 actually attend? | [
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student_assessment | SELECT T2.candidate_id FROM people AS T1 JOIN candidates AS T2 ON T1.person_id = T2.candidate_id WHERE T1.email_address = "stanley.monahan@example.org" | Find id of the candidate whose email is stanley.monahan@example.org? | [
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student_assessment | SELECT T2.candidate_id FROM people AS T1 JOIN candidates AS T2 ON T1.person_id = T2.candidate_id WHERE T1.email_address = "stanley.monahan@example.org" | What is the id of the candidate whose email is stanley.monahan@example.org? | [
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student_assessment | SELECT T3.course_name , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id JOIN courses AS T3 ON T2.course_id = T3.course_id GROUP BY T2.course_id | How many registed students do each course have? List course name and the number of their registered students? | [
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student_assessment | SELECT DISTINCT T1.city FROM addresses AS T1 JOIN people_addresses AS T2 ON T1.address_id = T2.address_id | Find distinct cities of addresses of people? | [
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"FROM",
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"ORDER",
"BY",
"first_name"
] | [
"select",
"first_name",
"from",
"people",
"order",
"by",
"first_name"
] | [
"What",
"are",
"the",
"first",
"names",
"of",
"the",
"people",
"in",
"alphabetical",
"order",
"?"
] |
student_assessment | SELECT student_id FROM student_course_registrations UNION SELECT student_id FROM student_course_attendance | What are the id of students who registered courses or attended courses? | [
"SELECT",
"student_id",
"FROM",
"student_course_registrations",
"UNION",
"SELECT",
"student_id",
"FROM",
"student_course_attendance"
] | [
"select",
"student_id",
"from",
"student_course_registrations",
"union",
"select",
"student_id",
"from",
"student_course_attendance"
] | [
"What",
"are",
"the",
"id",
"of",
"students",
"who",
"registered",
"courses",
"or",
"attended",
"courses",
"?"
] |
Dataset Card for Spider
Table of Contents Dataset Description Dataset Summary Supported Tasks and Leaderboards Languages Dataset Structure Data Instances Data Fields Data Splits Dataset Creation Curation Rationale Source Data Annotations Personal and Sensitive Information Considerations for Using the Data Social Impact of Dataset Discussion of Biases Other Known Limitations Additional Information Dataset Curators Licensing Information Citation Information Contributions Dataset Description Homepage: https://yale-lily.github.io/spider Repository: https://github.com/taoyds/spider Paper: https://www.aclweb.org/anthology/D18-1425/ Point of Contact: Yale LILY Dataset Summary Spider is a large-scale complex and cross-domain semantic parsing and text-to-SQL dataset annotated by 11 Yale students The goal of the Spider challenge is to develop natural language interfaces to cross-domain databases
Supported Tasks and Leaderboards The leaderboard can be seen at https://yale-lily.github.io/spider
Languages The text in the dataset is in English.
Dataset Structure Data Instances What do the instances that comprise the dataset represent?
Each instance is natural language question and the equivalent SQL query
How many instances are there in total?
What data does each instance consist of?
[More Information Needed]
Data Fields db_id: Database name question: Natural language to interpret into SQL query: Target SQL query query_toks: List of tokens for the query query_toks_no_value: List of tokens for the query question_toks: List of tokens for the question Data Splits train: 7000 questions and SQL query pairs dev: 1034 question and SQL query pairs
[More Information Needed]
Dataset Creation Curation Rationale [More Information Needed]
Source Data Initial Data Collection and Normalization Who are the source language producers? [More Information Needed]
Annotations The dataset was annotated by 11 college students at Yale University
Annotation process Who are the annotators? Personal and Sensitive Information [More Information Needed]
Considerations for Using the Data Social Impact of Dataset Discussion of Biases [More Information Needed]
Other Known Limitations Additional Information The listed authors in the homepage are maintaining/supporting the dataset.
Dataset Curators [More Information Needed]
Licensing Information The spider dataset is licensed under the CC BY-SA 4.0
[More Information Needed]
Citation Information @article{yu2018spider, title={Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task}, author={Yu, Tao and Zhang, Rui and Yang, Kai and Yasunaga, Michihiro and Wang, Dongxu and Li, Zifan and Ma, James and Li, Irene and Yao, Qingning and Roman, Shanelle and others}, journal={arXiv preprint arXiv:1809.08887}, year={2018} }
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