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9,735 | hr_1 | spider:train_spider.json:3440 | Which employees were hired after September 7th, 1987? | SELECT * FROM employees WHERE hire_date > '1987-09-07' | [
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9,736 | e_learning | spider:train_spider.json:3776 | List all the login names and family names of course author and tutors. | SELECT login_name , family_name FROM Course_Authors_and_Tutors | [
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9,737 | railway | spider:train_spider.json:5642 | Show id and location of railways that are associated with more than one train. | SELECT T2.Railway_ID , T1.Location FROM railway AS T1 JOIN train AS T2 ON T1.Railway_ID = T2.Railway_ID GROUP BY T2.Railway_ID HAVING COUNT(*) > 1 | [
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9,738 | chicago_crime | bird:train.json:8683 | What is the average number of reckless homicides that happened in a district? | SELECT CAST(COUNT(T2.report_no) AS REAL) / COUNT(DISTINCT T1.district_name) FROM District AS T1 INNER JOIN Crime AS T2 ON T2.district_no = T1.district_no INNER JOIN IUCR AS T3 ON T3.iucr_no = T2.iucr_no WHERE T3.secondary_description = 'RECKLESS HOMICIDE' | [
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9,739 | toxicology | bird:dev.json:315 | Among the molecules which contain "cl" element, which of them are carcinogenic? | SELECT DISTINCT T1.molecule_id FROM atom AS T1 INNER JOIN molecule AS T2 ON T1.molecule_id = T2.molecule_id WHERE T1.element = 'cl' AND T2.label = '+' | [
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9,741 | bike_share_1 | bird:train.json:9088 | Count the number of subscribers who started their trips in Market at 4th. | SELECT COUNT(CASE WHEN subscription_type = 'Subscriber' AND start_station_name = 'Market at 4th' THEN id END) FROM trip | [
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9,742 | college_1 | spider:train_spider.json:3184 | What is the school code of the accounting department? | SELECT school_code FROM department WHERE dept_name = "Accounting" | [
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9,743 | retail_world | bird:train.json:6464 | Calculate the average salary per order for Andrew Fuller. | SELECT CAST(SUM(T1.Salary) AS REAL) / COUNT(T2.EmployeeID) FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.FirstName = 'Andrew' AND T1.LastName = 'Fuller' | [
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9,744 | superhero | bird:dev.json:720 | Please list the full names of all the superheroes with over 15 super powers. | SELECT DISTINCT T1.full_name FROM superhero AS T1 INNER JOIN hero_power AS T2 ON T1.id = T2.hero_id GROUP BY T1.full_name HAVING COUNT(T2.power_id) > 15 | [
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9,745 | tracking_orders | spider:train_spider.json:6897 | What is the name of the customer who has the most orders? | SELECT T1.customer_name FROM customers AS T1 JOIN orders AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) DESC LIMIT 1 | [
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9,746 | race_track | spider:train_spider.json:778 | What are the years of opening for tracks with seating between 4000 and 5000? | SELECT year_opened FROM track WHERE seating BETWEEN 4000 AND 5000 | [
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9,747 | bakery_1 | bird:test.json:1488 | Give the id and flavor of the most expensive cake. | SELECT id , flavor FROM goods WHERE food = "Cake" ORDER BY price DESC LIMIT 1 | [
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9,748 | program_share | spider:train_spider.json:3733 | Show me the owner of the channel with the highest rating. | SELECT OWNER FROM channel ORDER BY rating_in_percent DESC LIMIT 1 | [
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9,750 | flight_1 | spider:train_spider.json:415 | Show aircraft names and number of flights for each aircraft. | SELECT T2.name , count(*) FROM Flight AS T1 JOIN Aircraft AS T2 ON T1.aid = T2.aid GROUP BY T1.aid | [
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9,752 | toxicology | bird:dev.json:269 | How many bond id have element iodine? | SELECT COUNT(T3.bond_id) FROM atom AS T1 INNER JOIN molecule AS T2 ON T1.molecule_id = T2.molecule_id INNER JOIN bond AS T3 ON T2.molecule_id = T3.molecule_id WHERE T1.element = 'i' | [
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9,753 | university | bird:train.json:8107 | Calculate the average number of students of all universities in 2012. | SELECT AVG(num_students) FROM university_year WHERE year = 2012 | [
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9,754 | university | bird:train.json:8082 | What are the names of the universities that got 98 in teaching in 2011? | SELECT T3.university_name FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id WHERE T1.criteria_name = 'Teaching' AND T2.year = 2011 AND T2.score = 98 | [
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9,756 | voter_2 | spider:train_spider.json:5447 | How many voting records do we have? | SELECT count(*) FROM VOTING_RECORD | [
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"id": 0,
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9,757 | cre_Students_Information_Systems | bird:test.json:457 | List the biographical data and the date of the transcript of all the students. | SELECT T1.bio_data , T2.date_of_transcript FROM Students AS T1 JOIN Transcripts AS T2 ON T1.student_id = T2.student_id | [
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9,758 | hospital_1 | spider:train_spider.json:3923 | What is the name of the medication used for the patient staying in room 111? | SELECT T4.name FROM stay AS T1 JOIN patient AS T2 ON T1.Patient = T2.SSN JOIN Prescribes AS T3 ON T3.Patient = T2.SSN JOIN Medication AS T4 ON T3.Medication = T4.Code WHERE room = 111 | [
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9,759 | talkingdata | bird:train.json:1133 | For the event which happened at 14:09:49 on 2016/5/6, in the location coordinate(116, 40), how many apps were active? | SELECT COUNT(T1.app_id) FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id WHERE T2.timestamp = '2016-05-06 14:09:49' AND T1.is_active = '1' AND T2.longitude = '116' AND T2.latitude = '40' | [
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9,760 | music_2 | spider:train_spider.json:5186 | Find all the songs produced by artists with first name "Marianne". | SELECT T3.Title FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId WHERE T2.firstname = "Marianne" | [
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9,762 | thrombosis_prediction | bird:dev.json:1282 | Please list the top three patients' birthdays with the highest glutamic pylvic transaminase in the normal range. | SELECT T1.Birthday FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.GPT < 60 ORDER BY T2.GPT DESC LIMIT 3 | [
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9,764 | law_episode | bird:train.json:1317 | Write down the title, summary, and air date of the episode that garnered 72 10-star votes. | SELECT T2.title, T2.summary, T2.air_date FROM Vote AS T1 INNER JOIN Episode AS T2 ON T2.episode_id = T1.episode_id WHERE T1.stars = 10 AND T1.votes = 72 | [
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9,765 | student_loan | bird:train.json:4368 | How many students have never been absent from school? | SELECT COUNT(name) FROM longest_absense_from_school WHERE `month` = 0 | [
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9,766 | mondial_geo | bird:train.json:8313 | Please list the countries on the European Continent that have a population growth of more than 3%. | SELECT T2.Country FROM country AS T1 INNER JOIN encompasses AS T2 ON T1.Code = T2.Country INNER JOIN continent AS T3 ON T3.Name = T2.Continent INNER JOIN population AS T4 ON T4.Country = T1.Code WHERE T3.Name = 'Europe' AND T4.Population_Growth > 0.03 | [
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9,767 | driving_school | spider:train_spider.json:6679 | What is the maximum, minimum, and average amount of money outsanding for all customers? | SELECT max(amount_outstanding) , min(amount_outstanding) , avg(amount_outstanding) FROM Customers; | [
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9,768 | thrombosis_prediction | bird:dev.json:1213 | Name the ID of the patient who is born on the April 1st, 1982. Is his/her alkaliphophatase (ALP) within normal range? | SELECT T1.ID , CASE WHEN T2.ALP < 300 THEN 'normal' ELSE 'abNormal' END FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.Birthday = '1982-04-01' | [
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9,769 | sports_competition | spider:train_spider.json:3339 | List the distinct region of clubs in ascending alphabetical order. | SELECT DISTINCT Region FROM club ORDER BY Region ASC | [
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9,770 | works_cycles | bird:train.json:7325 | Please provide contact details of all Marketing Managers. State their name and phone number. | SELECT T1.FirstName, T1.LastName, T2.PhoneNumber FROM Person AS T1 INNER JOIN PersonPhone AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Employee AS T3 ON T1.BusinessEntityID = T3.BusinessEntityID WHERE T3.JobTitle = 'Marketing Manager' | [
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9,772 | e_learning | spider:train_spider.json:3840 | Find the student ID and middle name for all the students with at most two enrollments. | SELECT T1.student_id , T2.middle_name FROM Student_Course_Enrolment AS T1 JOIN Students AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id HAVING COUNT(*) <= 2 | [
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9,773 | regional_sales | bird:train.json:2601 | Calculate the order percentage by "Carlos Miller" sales team. | SELECT CAST(SUM(CASE WHEN T2.`Sales Team` = 'Carlos Miller' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.OrderNumber) FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID | [
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9,775 | cre_Students_Information_Systems | bird:test.json:503 | How many courses does each student take? List the student id, the student biographical data and the course count. | SELECT T1.student_id , T1.bio_data , count(*) FROM Students AS T1 JOIN Classes AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id | [
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9,776 | cre_Doc_and_collections | bird:test.json:676 | Who is the owner of the parent document of every documents where 'Marlin' is the owner? | SELECT T2.Owner FROM Document_Objects AS T1 JOIN Document_Objects AS T2 ON T1.Parent_Document_Object_ID = T2.Document_Object_ID WHERE T1.Owner = 'Marlin' | [
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9,777 | world_development_indicators | bird:train.json:2173 | State the currency of Malaysia and what are the indicator code used by this country in 1970? | SELECT T1.currencyunit, T2.IndicatorCode FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.TableName = 'Malaysia' AND T2.Year = 1970 | [
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9,778 | country_language | bird:test.json:1378 | Show the official languages and the number of countries speaking each language. | SELECT T2.name , COUNT(*) FROM official_languages AS T1 JOIN languages AS T2 ON T1.language_id = T2.id GROUP BY T2.name | [
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9,779 | small_bank_1 | spider:train_spider.json:1784 | How many accounts have a savings balance above the average savings balance? | SELECT count(*) FROM savings WHERE balance > (SELECT avg(balance) FROM savings) | [
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9,780 | authors | bird:train.json:3605 | Give the Title and author's name of the books that were preprint in 1997. | SELECT DISTINCT T2.Name, T1.Title FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.ConferenceId = 0 AND T1.JournalId = 0 AND T1.Year = 1997 AND T1.Title <> '' | [
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9,781 | perpetrator | spider:train_spider.json:2314 | What are the heights of perpetrators in descending order of the number of people they injured? | SELECT T1.Height FROM people AS T1 JOIN perpetrator AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Injured DESC | [
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9,782 | retail_world | bird:train.json:6429 | What are the products that belong to the beverage category? | SELECT T2.ProductName FROM Categories AS T1 INNER JOIN Products AS T2 ON T1.CategoryID = T2.CategoryID WHERE T1.CategoryName = 'Beverages' | [
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9,783 | school_finance | spider:train_spider.json:1899 | List the amount and donor name for the largest amount of donation. | SELECT amount , donator_name FROM endowment ORDER BY amount DESC LIMIT 1 | [
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9,784 | voter_2 | spider:train_spider.json:5508 | Which major has the most students? | SELECT Major FROM STUDENT GROUP BY major ORDER BY count(*) DESC LIMIT 1 | [
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9,785 | university | bird:train.json:7995 | In 2014, what is the name of the university which was considered a leader in the publications rank? | SELECT T3.university_name FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id WHERE T1.criteria_name = 'Publications Rank' AND T2.year = 2014 AND T1.id = 17 ORDER BY T2.score DESC LIMIT 1 | [
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9,786 | movie_3 | bird:train.json:9142 | What is Diane Collins' email address? | SELECT email FROM customer WHERE first_name = 'DIANE' AND last_name = 'COLLINS' | [
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9,787 | public_review_platform | bird:train.json:3768 | For the user who gave the most number of long reviews, what is his/her averge ratings of all review? | SELECT CAST(SUM(T1.review_stars) AS REAL) / COUNT(T1.review_stars) FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.review_length LIKE 'Long' GROUP BY T1.user_id ORDER BY COUNT(T1.review_length) DESC LIMIT 1 | [
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9,788 | olympics | bird:train.json:5077 | How many female competitors were from Iran? | SELECT COUNT(T2.person_id) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Iran' AND T3.gender = 'F' | [
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9,789 | mondial_geo | bird:train.json:8274 | Which country has the most neighbors? Give the full name of the country. | SELECT T1.Name FROM country AS T1 INNER JOIN borders AS T2 ON T1.Code = T2.Country1 GROUP BY T1.Name ORDER BY COUNT(T1.Name) DESC LIMIT 1 | [
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9,790 | apartment_rentals | spider:train_spider.json:1268 | How many apartments do not have any facility? | SELECT count(*) FROM Apartments WHERE apt_id NOT IN (SELECT apt_id FROM Apartment_Facilities) | [
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9,791 | warehouse_1 | bird:test.json:1746 | In how many different warehouses are Rocks stored within boxes? | SELECT count(DISTINCT LOCATION) FROM boxes AS T1 JOIN warehouses AS T2 ON T1.warehouse = T2.code WHERE T1.contents = 'Rocks' | [
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9,792 | financial | bird:dev.json:171 | What was the difference in the number of crimes committed in East and North Bohemia in 1996? | SELECT SUM(IIF(A3 = 'east Bohemia', A16, 0)) - SUM(IIF(A3 = 'north Bohemia', A16, 0)) FROM district | [
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9,793 | disney | bird:train.json:4631 | Among the movies directed by Wolfgang Reitherman, which one of them was the most popular? | SELECT T2.movie_title FROM director AS T1 INNER JOIN movies_total_gross AS T2 ON T1.name = T2.movie_title WHERE T1.director = 'Wolfgang Reitherman' ORDER BY T2.total_gross DESC LIMIT 1 | [
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9,794 | hr_1 | spider:train_spider.json:3515 | display the department ID, full name (first and last name), salary for those employees who is highest salary in every department. | SELECT first_name , last_name , salary , department_id , MAX(salary) FROM employees GROUP BY department_id | [
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9,795 | retail_complains | bird:train.json:240 | On which day was the most verbose complaint received? | SELECT `Date received` FROM callcenterlogs WHERE ser_time = ( SELECT MAX(ser_time) FROM callcenterlogs ) | [
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9,796 | city_record | spider:train_spider.json:6307 | Which cities have served as host cities more than once? Return me their GDP and population. | SELECT t1.gdp , t1.Regional_Population FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city GROUP BY t2.Host_City HAVING count(*) > 1 | [
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9,797 | book_1 | bird:test.json:550 | Give the name of the client who has made the most orders. | SELECT T2.name FROM Orders AS T1 JOIN Client AS T2 ON T1.idClient = T2.idClient GROUP BY T1.idClient ORDER BY count(*) DESC LIMIT 1 | [
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9,798 | election | spider:train_spider.json:2760 | Which delegates are from counties with population smaller than 100000? | SELECT T2.Delegate FROM county AS T1 JOIN election AS T2 ON T1.County_id = T2.District WHERE T1.Population < 100000 | [
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9,799 | music_1 | spider:train_spider.json:3612 | What country is the artist who made the fewest songs from? | SELECT T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name GROUP BY T2.artist_name ORDER BY count(*) LIMIT 1 | [
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9,800 | student_club | bird:dev.json:1343 | With the biggest budget for the "Food", what was the remaining of it? | SELECT remaining FROM budget WHERE category = 'Food' AND amount = ( SELECT MAX(amount) FROM budget WHERE category = 'Food' ) | [
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9,801 | sakila_1 | spider:train_spider.json:2974 | Where is store 1 located? | SELECT T2.address FROM store AS T1 JOIN address AS T2 ON T1.address_id = T2.address_id WHERE store_id = 1 | [
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9,802 | allergy_1 | spider:train_spider.json:499 | Show all advisors and corresponding number of students. | SELECT advisor , count(*) FROM Student GROUP BY advisor | [
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9,803 | debit_card_specializing | bird:dev.json:1502 | Please list the chains of the gas stations with transactions in euro. | SELECT DISTINCT T3.ChainID FROM transactions_1k AS T1 INNER JOIN customers AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN gasstations AS T3 ON T1.GasStationID = T3.GasStationID WHERE T2.Currency = 'EUR' | [
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9,804 | image_and_language | bird:train.json:7602 | What object class is in the X and Y coordinates of 126 and 363? | SELECT T1.IMG_ID, T2.OBJ_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.X = 126 AND T1.Y = 363 | [
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9,805 | college_1 | spider:train_spider.json:3206 | How many classes are held in each department? | SELECT count(*) , dept_code FROM CLASS AS T1 JOIN course AS T2 ON T1.crs_code = T2.crs_code GROUP BY dept_code | [
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9,806 | soccer_2016 | bird:train.json:1867 | List the names and countries of the players from Gujarat Lions who played in the match held on 11th April 2016. | SELECT T4.Player_Name, T5.Country_Name FROM Player_Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Team_Id INNER JOIN Match AS T3 ON T3.Match_Id = T1.Match_Id INNER JOIN Player AS T4 ON T4.Player_Id = T1.Player_Id INNER JOIN Country AS T5 ON T5.Country_Id = T4.Country_Name WHERE T2.Team_Name = 'Gujarat Lions' AND ... | [
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9,807 | election | spider:train_spider.json:2780 | Return the names of all counties sorted by county name in descending alphabetical order. | SELECT County_name FROM county ORDER BY County_name DESC | [
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9,808 | institution_sports | bird:test.json:1654 | Return the stadiums of institutions, ordered by capacity descending. | SELECT Stadium FROM institution ORDER BY Capacity DESC | [
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9,809 | advertising_agencies | bird:test.json:2066 | How many clients does each agency have? | SELECT agency_id , count(*) FROM Clients GROUP BY agency_id | [
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9,810 | club_1 | spider:train_spider.json:4315 | Find the average age of the members in the club "Bootup Baltimore". | SELECT avg(t3.age) FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Bootup Baltimore" | [
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9,811 | app_store | bird:train.json:2521 | Name the top 10 most reviewed apps. | SELECT DISTINCT App FROM playstore ORDER BY Reviews DESC LIMIT 10 | [
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9,812 | cre_Doc_and_collections | bird:test.json:720 | What is the collection name of a document owned by 'Ransom'? | SELECT T1.Collection_Name FROM Collections AS T1 JOIN Documents_in_Collections AS T2 ON T1.Collection_ID = T2.Collection_ID JOIN Document_Objects AS T3 ON T2.Document_object_id = T3.Document_object_id WHERE T3.owner = 'Ransom' | [
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9,814 | superstore | bird:train.json:2410 | List the name of all the products with order quantities greater than or equal to 10 in the central superstore that has been shipped by the slowest delivery method. | SELECT DISTINCT T2.`Product Name` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Ship Mode` = 'Standard Class' AND T1.Quantity >= 10 | [
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9,815 | mondial_geo | bird:train.json:8243 | Among the countries with the African ethnic group, how many of them has a population of over 10000000? | SELECT COUNT(T1.Name) FROM country AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Code = T2.Country WHERE T2.Name = 'African' AND T1.Area > 10000000 | [
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9,816 | tracking_orders | spider:train_spider.json:6939 | Find the name of the customers who have at most two orders. | SELECT T2.customer_name FROM orders AS T1 JOIN customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.customer_id HAVING count(*) <= 2 | [
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9,817 | retail_world | bird:train.json:6637 | What is the name of product with the ID of 77? | SELECT ProductName FROM Products WHERE ProductID = 77 | [
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9,818 | address | bird:train.json:5187 | What is the number of households in the "FL-10" district? | SELECT SUM(CASE WHEN T2.district = 'FL-10' THEN 1 ELSE 0 END) FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code | [
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9,819 | products_gen_characteristics | spider:train_spider.json:5558 | What are all the characteristic names of product "sesame"? | SELECT t3.characteristic_name FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN CHARACTERISTICS AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t1.product_name = "sesame" | [
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9,820 | chinook_1 | spider:train_spider.json:807 | How many albums are there? | SELECT count(*) FROM ALBUM | [
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9,821 | student_loan | bird:train.json:4565 | How many bankrupt students are there in the Marines? | SELECT COUNT(T1.name) FROM filed_for_bankrupcy AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name WHERE T2.organ = 'marines' | [
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9,822 | inn_1 | spider:train_spider.json:2645 | What are the name of rooms booked by customers whose first name has "ROY" in part? | SELECT T2.roomName FROM Reservations AS T1 JOIN Rooms AS T2 ON T1.Room = T2.RoomId WHERE firstname LIKE '%ROY%' | [
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9,823 | music_platform_2 | bird:train.json:7942 | Of the arts-books and arts-design categories, which one has more podcasts and what is the numerical difference between them? | SELECT ( SELECT category FROM categories WHERE category = 'arts-books' OR category = 'arts-design' GROUP BY category ORDER BY COUNT(podcast_id) DESC LIMIT 1 ) "has more podcasts" , ( SELECT SUM(CASE WHEN category = 'arts-books' THEN 1 ELSE 0 END) - SUM(CASE WHEN category = 'arts-design' THEN 1 ELSE 0 END) FROM categori... | [
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9,824 | region_building | bird:test.json:320 | Sort the buildings in descending order of building completion year, and return the building addresses. | SELECT Address FROM building ORDER BY Completed_Year DESC | [
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9,825 | retail_world | bird:train.json:6391 | Find and list the full name of employees who are from the territory, Wilton. | SELECT T1.FirstName, T1.LastName FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID WHERE T3.TerritoryDescription = 'Wilton' | [
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9,826 | world_development_indicators | bird:train.json:2118 | What is the topic of the series when the Total reserves minus gold (current US$) indicator of Haiti hit the value of 3,000,000 in 1961? Please include its series code and license type. | SELECT T2.Topic, T2.Seriescode, T2.LicenseType FROM Indicators AS T1 INNER JOIN Series AS T2 ON T1.IndicatorName = T2.IndicatorName WHERE T1.Year = 1961 AND T1.CountryName = 'Haiti' AND T1.IndicatorName = 'Total reserves minus gold (current US$)' AND T1.Value = 3000000 | [
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9,827 | codebase_community | bird:dev.json:622 | State the name of badge that the user whose display name is "Sharpie" obtained. | SELECT T2.Name FROM users AS T1 INNER JOIN badges AS T2 ON T1.Id = T2.UserId WHERE T1.DisplayName = 'Sharpie' | [
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9,828 | public_review_platform | bird:train.json:3779 | What is the number of reviews from user No. "21679"? | SELECT COUNT(review_length) FROM Reviews WHERE user_id = 21679 | [
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9,829 | address_1 | bird:test.json:794 | How many students live in each country? | SELECT T1.country , count(*) FROM City AS T1 JOIN Student AS T2 ON T1.city_code = T2.city_code GROUP BY T1.country | [
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9,830 | olympics | bird:train.json:4961 | What is the name of all the sports Chin Eei Hui has competed in? | SELECT DISTINCT T1.sport_name FROM sport AS T1 INNER JOIN event AS T2 ON T1.id = T2.sport_id INNER JOIN competitor_event AS T3 ON T2.id = T3.event_id INNER JOIN games_competitor AS T4 ON T3.competitor_id = T4.id INNER JOIN person AS T5 ON T4.person_id = T5.id WHERE T5.full_name = 'Chin Eei Hui' | [
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9,831 | professional_basketball | bird:train.json:2809 | Which coach of the Chicago Bulls during the year 1981 won the NBA Coach of the Year award in the 1970s? | SELECT DISTINCT T2.coachID FROM coaches AS T1 INNER JOIN awards_coaches AS T2 ON T1.coachID = T2.coachID INNER JOIN teams AS T3 ON T3.tmID = T1.tmID WHERE T2.award = 'NBA Coach of the Year' AND T2.year BETWEEN 1970 AND 1979 AND T1.year = 1981 AND T3.name = 'Chicago Bulls' | [
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9,832 | movies_4 | bird:train.json:498 | List down the movie titles that were produced in Canada. | SELECT T1.title FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id WHERE T3.COUNTry_name = 'Canada' | [
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9,833 | allergy_1 | spider:train_spider.json:483 | Show the minimum, average, and maximum age of all students. | SELECT min(age) , avg(age) , max(age) FROM Student | [
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9,834 | cs_semester | bird:train.json:918 | Name the students of the Advanced Database Systems course with the highest satisfaction. | SELECT T1.f_name, T1.l_name FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T3.name = 'Advanced Database Systems' ORDER BY T2.sat DESC LIMIT 1 | [
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9,835 | car_racing | bird:test.json:1638 | Find the manager and sponsor of the team that has the most drivers. | SELECT t1.manager , t1.sponsor FROM team AS t1 JOIN team_driver AS t2 ON t1.team_id = t2.team_id GROUP BY t2.team_id ORDER BY count(*) DESC LIMIT 1 | [
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{
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"value": "sponsor"
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{
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"valu... | [
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] |
9,836 | candidate_poll | spider:train_spider.json:2428 | list all female (sex is F) candidate names in the alphabetical order. | SELECT t1.name FROM people AS t1 JOIN candidate AS t2 ON t1.people_id = t2.people_id WHERE t1.sex = 'F' ORDER BY t1.name | [
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] | [
{
"id": 2,
"type": "table",
"value": "candidate"
},
{
"id": 5,
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"value": "people_id"
},
{
"id": 1,
"type": "table",
"value": "people"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 3,
"type": "column",
"value": ... | [
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"O",
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"O",
"O"
] |
9,837 | railway | spider:train_spider.json:5634 | List the wheels and locations of the railways. | SELECT Wheels , LOCATION FROM railway | [
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"wheels",
"and",
"locations",
"of",
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"railways",
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] | [
{
"id": 2,
"type": "column",
"value": "location"
},
{
"id": 0,
"type": "table",
"value": "railway"
},
{
"id": 1,
"type": "column",
"value": "wheels"
}
] | [
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"... | [
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] |
9,838 | chicago_crime | bird:train.json:8617 | Give the FBI code description of case No.JB134191. | SELECT description FROM Crime AS T1 INNER JOIN FBI_Code AS T2 ON T1.fbi_code_no = T2.fbi_code_no WHERE T1.case_number = 'JB134191' | [
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"FBI",
"code",
"description",
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"No",
".",
"JB134191",
"."
] | [
{
"id": 0,
"type": "column",
"value": "description"
},
{
"id": 3,
"type": "column",
"value": "case_number"
},
{
"id": 5,
"type": "column",
"value": "fbi_code_no"
},
{
"id": 2,
"type": "table",
"value": "fbi_code"
},
{
"id": 4,
"type": "value",
... | [
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{
"entity_id":... | [
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"B-TABLE",
"I-TABLE",
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"O",
"O",
"O",
"B-VALUE",
"O"
] |
9,839 | simpson_episodes | bird:train.json:4284 | What are the episodes that have the average rating with more than 20 of 2-star votes? | SELECT DISTINCT T1.episode_id FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = 2 AND T2.votes > 20 AND T1.rating > 5.0 AND T1.rating <= 7.0; | [
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"-",
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] | [
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"id": 0,
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"value": "episode"
},
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"id": 7,
"type": "column",
"value": "rating"
},
{
"id": 3,
"type": "column",
"value": "stars"
},
{
"id": 5,
"type": "column",
"value":... | [
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},
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"enti... | [
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"B-VALUE",
"O",
"B-COLUMN",
"B-TABLE",
"O"
] |
9,840 | address_1 | bird:test.json:782 | Which states have at least two cities? | SELECT state FROM City GROUP BY state HAVING count(*) >= 2 | [
"Which",
"states",
"have",
"at",
"least",
"two",
"cities",
"?"
] | [
{
"id": 1,
"type": "column",
"value": "state"
},
{
"id": 0,
"type": "table",
"value": "city"
},
{
"id": 2,
"type": "value",
"value": "2"
}
] | [
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"entity_id": 0,
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},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": ... | [
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
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] |
9,841 | insurance_policies | spider:train_spider.json:3882 | What is the total amount of payment? | SELECT sum(Amount_Payment) FROM Payments | [
"What",
"is",
"the",
"total",
"amount",
"of",
"payment",
"?"
] | [
{
"id": 1,
"type": "column",
"value": "amount_payment"
},
{
"id": 0,
"type": "table",
"value": "payments"
}
] | [
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},
{
"entity_id": 4,
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},
{
"entity_id": 5,
"toke... | [
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"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"B-TABLE",
"O"
] |
9,842 | book_publishing_company | bird:train.json:228 | For the quantities, what percent more did the store in Fremont sell than the store in Portland in 1993? | SELECT CAST(SUM(CASE WHEN T2.city = 'Fremont' THEN qty END) - SUM(CASE WHEN T2.city = 'Portland' THEN qty END) AS REAL) * 100 / SUM(CASE WHEN T2.city = 'Fremont' THEN qty END) FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id WHERE STRFTIME('%Y', T1.ord_date) = '1993' | [
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] | [
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"id": 5,
"type": "column",
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{
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"type": "value",
"value": "Portland"
},
{
"id": 3,
"type": "column",
"value": "stor_id"
},
{
"id": 9,
"type": "value",
"value": "Fremont"
},
{
"id": 1,
"type": "table",
"value"... | [
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},
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{
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... | [
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"B-VALUE",
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"B-VALUE",
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] |
9,843 | hr_1 | spider:train_spider.json:3525 | display the department name and number of employees in each of the department. | SELECT department_name , COUNT(*) FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id GROUP BY department_name | [
"display",
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"and",
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"employees",
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"."
] | [
{
"id": 0,
"type": "column",
"value": "department_name"
},
{
"id": 3,
"type": "column",
"value": "department_id"
},
{
"id": 2,
"type": "table",
"value": "departments"
},
{
"id": 1,
"type": "table",
"value": "employees"
}
] | [
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},
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},
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},
{
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"O",
"O",
"O",
"B-TABLE",
"O"
] |
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