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10,267 | customers_and_orders | bird:test.json:266 | Give the product type codes of product types that have two or more products. | SELECT product_type_code FROM Products GROUP BY product_type_code HAVING count(*) >= 2 | [
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10,269 | cre_Theme_park | spider:train_spider.json:5917 | What is the name of the tourist attraction that is associated with the photo "game1"? | SELECT T2.Name FROM PHOTOS AS T1 JOIN TOURIST_ATTRACTIONS AS T2 ON T1.Tourist_Attraction_ID = T2.Tourist_Attraction_ID WHERE T1.Name = "game1" | [
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10,270 | hr_1 | spider:train_spider.json:3505 | display the employee number, name( first name and last name ), and salary for all employees who earn more than the average salary and who work in a department with any employee with a 'J' in their first name. | SELECT employee_id , first_name , last_name , salary FROM employees WHERE salary > ( SELECT AVG (salary) FROM employees ) AND department_id IN ( SELECT department_id FROM employees WHERE first_name LIKE '%J%') | [
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10,271 | mondial_geo | bird:train.json:8219 | State the different ethnic group and percentage of the language in Singapore. | SELECT T1.Name, T1.Percentage FROM ethnicGroup AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE T2.Name = 'Singapore' GROUP BY T1.Name, T1.Percentage | [
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10,272 | hospital_1 | spider:train_spider.json:3978 | Find the names of procedures which physician John Wen was trained in. | SELECT T3.name FROM physician AS T1 JOIN trained_in AS T2 ON T1.employeeid = T2.physician JOIN procedures AS T3 ON T3.code = T2.treatment WHERE T1.name = "John Wen" | [
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10,273 | flight_company | spider:train_spider.json:6367 | List the vehicle flight number, date and pilot of all the flights, ordered by altitude. | SELECT vehicle_flight_number , date , pilot FROM flight ORDER BY altitude ASC | [
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10,274 | retails | bird:train.json:6772 | List the names of the countries with the below-average number of customers in ascending order of customer numbers. | SELECT T2.n_name FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey GROUP BY T2.n_name HAVING COUNT(T1.c_name) > ( SELECT COUNT(customer.c_name) / COUNT(DISTINCT nation.n_name) FROM customer INNER JOIN nation ON customer.c_nationkey = nation.n_nationkey ) ORDER BY COUNT(T1.c_name) | [
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10,275 | e_government | spider:train_spider.json:6345 | Return the name of the organization which has the most contact individuals. | SELECT t1.organization_name FROM organizations AS t1 JOIN organization_contact_individuals AS t2 ON t1.organization_id = t2.organization_id GROUP BY t1.organization_name ORDER BY count(*) DESC LIMIT 1 | [
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10,276 | medicine_enzyme_interaction | spider:train_spider.json:961 | How many enzymes do not have any interactions? | SELECT count(*) FROM enzyme WHERE id NOT IN ( SELECT enzyme_id FROM medicine_enzyme_interaction ); | [
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10,277 | allergy_1 | spider:train_spider.json:478 | Give the city that the student whose family name is Kim lives in. | SELECT city_code FROM Student WHERE LName = "Kim" | [
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10,278 | soccer_2 | spider:train_spider.json:5018 | Which college has any student who is a goalie and succeeded in the tryout. | SELECT cName FROM tryout WHERE decision = 'yes' AND pPos = 'goalie' | [
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10,279 | culture_company | spider:train_spider.json:6987 | Return the title and director of the movie released in the year 2000 or earlier that had the highest worldwide gross. | SELECT title , director FROM movie WHERE YEAR <= 2000 ORDER BY gross_worldwide DESC LIMIT 1 | [
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10,281 | works_cycles | bird:train.json:7257 | Who made the purchase order with the greatest total due before freight? Indicate her employee ID and calculate for his/her age when he/she was hired. | SELECT T2.BusinessEntityID, STRFTIME('%Y', T2.HireDate) - STRFTIME('%Y', T2.BirthDate) FROM PurchaseOrderHeader AS T1 INNER JOIN Employee AS T2 ON T1.EmployeeID = T2.BusinessEntityID ORDER BY T1.TotalDue DESC LIMIT 1 | [
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10,282 | regional_sales | bird:train.json:2580 | Among orders in 2020, name the customers who had the greatest discount applied for 'Cocktail Glasses' | SELECT DISTINCT T1.`Customer Names` FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID INNER JOIN Products AS T3 ON T3.ProductID = T2._ProductID WHERE T3.`Product Name` = 'Cocktail Glasses' AND SUBSTR(T2.OrderDate, -2) = '20' AND T2.`Discount Applied` = ( SELECT T2.`Discount Applied`... | [
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10,283 | music_platform_2 | bird:train.json:7966 | What is the review with the title "Hosts bring the show down" for? | SELECT title FROM podcasts WHERE podcast_id = ( SELECT podcast_id FROM reviews WHERE title = 'Hosts bring the show down' ) | [
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10,284 | world_development_indicators | bird:train.json:2156 | List out the country name of upper middle income group. Which country has the earliest national account base year? List out the region where this country locates. | SELECT DISTINCT T1.CountryName FROM indicators AS T1 INNER JOIN country AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.IncomeGroup = 'Upper middle income' UNION SELECT longname FROM ( SELECT longname FROM country WHERE NationalAccountsBaseYear <> '' ORDER BY NationalAccountsBaseYear ASC LIMIT 1 ) | [
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10,285 | simpson_episodes | bird:train.json:4340 | Among the episodes which have star score greater than 5, how many episodes have air date in 2008? | SELECT COUNT(DISTINCT T2.episode_id) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE strftime('%Y', T1.air_date) = '2008' AND T2.stars > 5; | [
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10,286 | products_for_hire | spider:train_spider.json:1974 | How many products are never booked with amount higher than 200? | SELECT count(*) FROM Products_for_hire WHERE product_id NOT IN ( SELECT product_id FROM products_booked WHERE booked_amount > 200 ) | [
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10,287 | financial | bird:dev.json:134 | In the branch where the largest number of crimes were committed in 1996, how many accounts were opened? | SELECT COUNT(T2.account_id) FROM district AS T1 INNER JOIN account AS T2 ON T1.district_id = T2.district_id GROUP BY T1.A16 ORDER BY T1.A16 DESC LIMIT 1 | [
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10,288 | book_press | bird:test.json:2013 | Find the names of the authors who did not have any book with the "Accor" press. | SELECT name FROM author EXCEPT SELECT t1.name FROM author AS t1 JOIN book AS t2 ON t1.author_id = t2.author_id JOIN press AS t3 ON t2.press_id = t3.press_id WHERE t3.name = 'Accor' | [
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10,289 | thrombosis_prediction | bird:dev.json:1158 | List all patients who were born in 1937 whose total cholesterol was beyond the normal range. | SELECT DISTINCT T1.ID FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE STRFTIME('%Y', T1.Birthday) = '1937' AND T2.`T-CHO` >= 250 | [
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10,290 | music_2 | spider:train_spider.json:5218 | Which song has the most vocals? | SELECT title FROM vocals AS T1 JOIN songs AS T2 ON T1.songid = T2.songid GROUP BY T1.songid ORDER BY count(*) DESC LIMIT 1 | [
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10,291 | election | spider:train_spider.json:2781 | Sort the names of all counties in descending alphabetical order. | SELECT County_name FROM county ORDER BY County_name DESC | [
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10,292 | decoration_competition | spider:train_spider.json:4493 | Show the names of members and the locations of colleges they go to in ascending alphabetical order of member names. | SELECT T2.Name , T1.College_Location FROM college AS T1 JOIN member AS T2 ON T1.College_ID = T2.College_ID ORDER BY T2.Name ASC | [
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10,293 | beer_factory | bird:train.json:5254 | State the coordinate of Sac State American River Courtyard. | SELECT T2.Latitude, T2.Longitude FROM location AS T1 INNER JOIN geolocation AS T2 ON T1.LocationID = T2.LocationID WHERE T1.LocationName = 'Sac State American River Courtyard' | [
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10,294 | codebase_comments | bird:train.json:681 | List 5 solution path that has sampling time of 636431758961741000. | SELECT DISTINCT T1.Path FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T2.SampledAt = 636431758961741000 LIMIT 5 | [
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10,295 | student_loan | bird:train.json:4530 | How many students in the Air Force? | SELECT COUNT(name) FROM enlist WHERE organ = 'air_force' | [
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10,296 | gas_company | spider:train_spider.json:2005 | List all headquarters and the number of companies in each headquarter. | SELECT headquarters , count(*) FROM company GROUP BY headquarters | [
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10,297 | local_govt_mdm | spider:train_spider.json:2652 | What are the register ids of electoral registries that have the cross reference source system code 'Electoral' or 'Tax'? | SELECT T1.electoral_register_id FROM Electoral_Register AS T1 JOIN CMI_Cross_References AS T2 ON T1.cmi_cross_ref_id = T2.cmi_cross_ref_id WHERE T2.source_system_code = 'Electoral' OR T2.source_system_code = 'Tax' | [
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10,298 | donor | bird:train.json:3159 | Name and describe all projects created by New York teachers. | SELECT T1.title, T1.short_description FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.teacher_ny_teaching_fellow = 't' | [
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10,300 | shakespeare | bird:train.json:2987 | How many poems did Shakespeare write? | SELECT COUNT(id) FROM works WHERE GenreType = 'Poem' | [
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10,301 | legislator | bird:train.json:4908 | List down the MapLight ID of the representatives in Maine. | SELECT T1.maplight_id FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.type = 'rep' AND T2.state = 'ME' GROUP BY T1.maplight_id | [
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10,302 | soccer_2016 | bird:train.json:1882 | What are the match IDs that were played at Brabourne Stadium? | SELECT T1.Match_Id FROM Match AS T1 INNER JOIN Venue AS T2 ON T2.Venue_Id = T1.Venue_Id WHERE T2.Venue_Name = 'Brabourne Stadium' | [
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10,303 | customers_and_orders | bird:test.json:271 | Show all customer ids and customer names. | SELECT customer_id , customer_name FROM Customers | [
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10,304 | pilot_1 | bird:test.json:1098 | Return the name of the oldest pilot. | SELECT pilot_name FROM PilotSkills ORDER BY age DESC LIMIT 1 | [
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10,305 | soccer_2016 | bird:train.json:1940 | When and for what role did the youngest player appear in his first match? | SELECT T1.Match_Date, T4.Role_Desc FROM `Match` AS T1 INNER JOIN Player_Match AS T2 ON T1.Match_Id = T2.Match_Id INNER JOIN Player AS T3 ON T2.Player_Id = T3.Player_Id INNER JOIN Rolee AS T4 ON T2.Role_Id = T4.Role_Id ORDER BY T3.DOB DESC LIMIT 1 | [
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10,306 | donor | bird:train.json:3296 | How many donations does the project "Look, Look, We Need a Nook!" have? | SELECT SUM(T3.donation_total) FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid INNER JOIN donations AS T3 ON T2.projectid = T3.projectid WHERE T1.title = 'Look, Look, We Need a Nook!' | [
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10,307 | authors | bird:train.json:3534 | Among the papers with conference ID of 0, list down the authors of papers with a journal ID less than 100. | SELECT DISTINCT T2.Name FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.ConferenceId = 0 AND T1.JournalId < 100 | [
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10,308 | books | bird:train.json:5974 | Provide the contact email of Moss Zarb. | SELECT email FROM customer WHERE first_name = 'Moss' AND last_name = 'Zarb' | [
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10,309 | college_completion | bird:train.json:3729 | What is the percentage of the number of 4-year public schools from Madison Area Technical College's home state in the Alabama? | SELECT CAST(COUNT(DISTINCT CASE WHEN T1.state = ( SELECT T1.state FROM institution_details AS T1 INNER JOIN state_sector_details AS T2 ON T2.state = T1.state WHERE T1.chronname = 'Madison Area Technical College' ) AND T1.level = '4-year' AND T1.control = 'Public' THEN T1.chronname ELSE NULL END) AS REAL) * 100 / COUNT(... | [
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10,310 | movies_4 | bird:train.json:490 | Provide the genre ID of the movie with the title of "The Dark Knight". | SELECT T2.genre_id FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'The Dark Knight' | [
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10,311 | language_corpus | bird:train.json:5708 | What is the average words of the 10 fewest words title? | SELECT CAST(SUM(CASE WHEN words >= 10 THEN words ELSE 0 END) AS REAL) / SUM(CASE WHEN words >= 10 THEN 1 ELSE 0 END) FROM pages | [
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10,312 | talkingdata | bird:train.json:1181 | Between device ID of "-9215352913819630000" and "-9222956879900150000", mention the age and gender of device user who participated more events. | SELECT T.age, T.gender FROM ( SELECT T2.age, T2.gender, COUNT(T1.device_id) AS num FROM events AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id WHERE T1.device_id BETWEEN -9215352913819630000 AND -9222956879900150000 GROUP BY T2.age, T2.gender ) AS T ORDER BY T.num DESC LIMIT 1 | [
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10,313 | synthea | bird:train.json:1375 | Why did Mrs. Annabelle Pouros take leucovorin 100 mg injection on 1970/12/19? State the reason. | SELECT T2.reasondescription FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Annabelle' AND T1.last = 'Pouros' AND T2.start = '1970-12-19' AND T2.description = 'Leucovorin 100 MG Injection' | [
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10,314 | olympics | bird:train.json:5014 | Give the height of the tallest athlete from Portugal. | SELECT T3.height 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 = 'Portugal' ORDER BY T3.height DESC LIMIT 1 | [
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10,315 | store_1 | spider:train_spider.json:644 | What are the names of all tracks that are on the Movies playlist but not in the music playlist? | SELECT T1.name FROM tracks AS T1 JOIN playlist_tracks AS T2 ON T1.id = T2.track_id JOIN playlists AS T3 ON T2.playlist_id = T3.id WHERE T3.name = 'Movies' EXCEPT SELECT T1.name FROM tracks AS T1 JOIN playlist_tracks AS T2 ON T1.id = T2.track_id JOIN playlists AS T3 ON T2.playlist_id = T3.id WHERE T3.name = ... | [
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10,316 | college_2 | spider:train_spider.json:1389 | What are the names of instructors who advise more than one student? | SELECT T1.name FROM instructor AS T1 JOIN advisor AS T2 ON T1.id = T2.i_id GROUP BY T2.i_id HAVING count(*) > 1 | [
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10,317 | codebase_comments | bird:train.json:626 | How many percent more of the stars for the repository of solution No.51424 than No.167053? | SELECT CAST(SUM(CASE WHEN T2.Id = 51424 THEN T1.Stars ELSE 0 END) - SUM(CASE WHEN T2.Id = 167053 THEN T1.Stars ELSE 0 END) AS REAL) * 100 / SUM(CASE WHEN T2.Id = 167053 THEN T1.Stars ELSE 0 END) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId | [
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10,319 | sakila_1 | spider:train_spider.json:2995 | Return the full name of the customer who made the first rental. | SELECT T1.first_name , T1.last_name FROM customer AS T1 JOIN rental AS T2 ON T1.customer_id = T2.customer_id ORDER BY T2.rental_date ASC LIMIT 1 | [
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10,320 | formula_1 | bird:dev.json:876 | For the race happened in 2015/11/29, how many drivers did not finish the game? | SELECT COUNT(T2.driverId) FROM races AS T1 INNER JOIN results AS T2 ON T2.raceId = T1.raceId WHERE T1.date = '2015-11-29' AND T2.time IS NULL | [
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10,321 | authors | bird:train.json:3560 | Among the papers published in 2009, pick 10 and list down the conference's short name of these papers. | SELECT T2.PaperId, T4.ShortName FROM Author AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.AuthorId INNER JOIN Paper AS T3 ON T2.PaperId = T3.Id INNER JOIN Conference AS T4 ON T3.ConferenceId = T4.Id WHERE T3.Year = 2009 LIMIT 10 | [
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10,322 | books | bird:train.json:6040 | List the titles of all the books that Peter H. Smith wrote. | SELECT T1.title FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T3.author_name = 'Peter H. Smith' | [
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10,323 | college_2 | spider:train_spider.json:1410 | Find the total number of students in each department. | SELECT count(*) , dept_name FROM student GROUP BY dept_name | [
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10,324 | city_record | spider:train_spider.json:6281 | IN which year did city "Taizhou ( Zhejiang )" serve as a host city? | SELECT T2.year FROM city AS T1 JOIN hosting_city AS T2 ON T1.city_id = T2.host_city WHERE T1.city = "Taizhou ( Zhejiang )" | [
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10,325 | professional_basketball | bird:train.json:2841 | From 1962 to 1975, how many coaches received the award? | SELECT COUNT(DISTINCT coachID) FROM awards_coaches WHERE year BETWEEN 1962 AND 1975 | [
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10,326 | simpson_episodes | bird:train.json:4180 | What is the birth name of the person who voiced 'Helen Lovejoy?' | SELECT DISTINCT T1.birth_name FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T2.role = 'Helen Lovejoy'; | [
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10,327 | wine_1 | spider:train_spider.json:6566 | Give the color of the grape whose wine products have the highest average price? | SELECT T1.Color FROM GRAPES AS T1 JOIN WINE AS T2 ON T1.Grape = T2.Grape GROUP BY T2.Grape ORDER BY AVG(Price) DESC LIMIT 1 | [
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10,328 | music_1 | spider:train_spider.json:3553 | Find the names of the artists who are from UK and have produced English songs. | SELECT artist_name FROM artist WHERE country = "UK" INTERSECT SELECT artist_name FROM song WHERE languages = "english" | [
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10,329 | region_building | bird:test.json:316 | Count the number of buildings. | SELECT count(*) FROM building | [
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10,330 | professional_basketball | bird:train.json:2887 | List the first name, last name, height and weight of the players who has all free throw attempted successfully made. | SELECT DISTINCT T1.firstName, T1.lastName, T1.height, T1.weight FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T2.ft_attempted > 0 AND ft_attempted = ft_made | [
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10,331 | swimming | spider:train_spider.json:5615 | Find the names of all swimmers, sorted by their 100 meter scores in ascending order. | SELECT name FROM swimmer ORDER BY meter_100 | [
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10,332 | cookbook | bird:train.json:8876 | How many calories does the turkey tenderloin bundles recipe have? | SELECT T2.calories FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.title = 'Turkey Tenderloin Bundles' | [
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10,333 | student_loan | bird:train.json:4539 | How many disabled students have payment due? | SELECT COUNT(T1.name) FROM no_payment_due AS T1 INNER JOIN disabled AS T2 ON T1.name = T2.name WHERE T1.bool = 'pos' | [
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10,334 | gymnast | spider:train_spider.json:1744 | What are the names of people in ascending alphabetical order? | SELECT Name FROM People ORDER BY Name ASC | [
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10,335 | performance_attendance | spider:train_spider.json:1309 | What are the dates and locations of performances? | SELECT Date , LOCATION FROM performance | [
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10,336 | retails | bird:train.json:6683 | Among all the customers in Germany, how many of them have an account balance of over 1000? | SELECT COUNT(T1.c_custkey) FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T2.n_name = 'GERMANY' AND T1.c_acctbal > 1000 | [
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10,337 | retails | bird:train.json:6671 | When was the latest date the items of order no.1 were shipped? | SELECT MAX(l_shipdate) FROM lineitem WHERE l_orderkey = 1 | [
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10,338 | retail_world | bird:train.json:6453 | What are the names of Robert King's territories? | SELECT T3.TerritoryDescription 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 T1.LastName = 'King' AND T1.FirstName = 'Robert' | [
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10,340 | synthea | bird:train.json:1366 | Why did Elly Koss need to take Acetaminophen? | SELECT T2.REASONDESCRIPTION FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description LIKE 'Acetaminophen%' | [
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10,341 | climbing | spider:train_spider.json:1146 | Show the range that has the most number of mountains. | SELECT Range FROM mountain GROUP BY Range ORDER BY COUNT(*) DESC LIMIT 1 | [
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10,342 | customers_and_invoices | spider:train_spider.json:1619 | Show the product ids and the number of unique orders containing each product. | SELECT product_id , count(DISTINCT order_id) FROM Order_items GROUP BY product_id | [
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10,343 | regional_sales | bird:train.json:2639 | Please calculate the total number of orders by each city in 2019. | SELECT COUNT(T1.OrderNumber) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T1.OrderDate LIKE '%/%/19' GROUP BY T2.`City Name` HAVING COUNT(T1.OrderNumber) | [
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10,344 | talkingdata | bird:train.json:1191 | What is the category of the label that represented the behavior category of app id 5902120154267990000? | SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 5902120154267990000 | [
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10,345 | shipping | bird:train.json:5602 | Provide the weight of the shipment to U-haul Center Of N Syracuse on 2016/9/21. | SELECT T1.weight FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id WHERE T2.cust_name = 'U-haul Center Of N Syracuse' AND T1.ship_date = '2016-09-21' | [
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10,346 | district_spokesman | bird:test.json:1186 | Return the ids and names of the districts whose population is larger than 4000 or area bigger than 3000. | SELECT district_id , name FROM district WHERE area_km > 3000 OR population > 4000 | [
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10,347 | sakila_1 | spider:train_spider.json:2959 | Return the sum of all payment amounts. | SELECT sum(amount) FROM payment | [
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10,348 | language_corpus | bird:train.json:5730 | Indicate the title of all the pages in which the word comunitat appears. | SELECT T3.title FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid INNER JOIN pages AS T3 ON T2.pid = T3.pid WHERE T1.word = 'comunitat' | [
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10,349 | works_cycles | bird:train.json:7204 | Among the employees who wish to receive e-mail promotion from AdventureWorks, how many percent of them are female? | SELECT CAST(SUM(CASE WHEN T1.Gender = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.BusinessEntityID) FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.EmailPromotion = 1 | [
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10,350 | beer_factory | bird:train.json:5296 | Among the root beers sold in bottles, how many are sold at the location 38.559615, -121.42243? | SELECT COUNT(T4.BrandID) FROM `transaction` AS T1 INNER JOIN geolocation AS T2 ON T1.LocationID = T2.LocationID INNER JOIN location AS T3 ON T1.LocationID = T3.LocationID INNER JOIN rootbeer AS T4 ON T1.RootBeerID = T4.RootBeerID WHERE T2.Latitude = 38.559615 AND T2.Longitude = -121.42243 AND T4.ContainerType = 'Bottle... | [
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10,351 | donor | bird:train.json:3197 | Please list the vendor providing resources for the projects of a school with the highest poverty level. | SELECT T1.vendor_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.poverty_level = 'highest poverty' | [
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10,352 | movie_2 | bird:test.json:1850 | What are the different movie ratings? | SELECT DISTINCT rating FROM movies | [
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10,353 | gas_company | spider:train_spider.json:2017 | Show all locations and the number of gas stations in each location ordered by the count. | SELECT LOCATION , count(*) FROM gas_station GROUP BY LOCATION ORDER BY count(*) | [
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10,354 | professional_basketball | bird:train.json:2938 | For the player who was drafted in the 1st round, 6th position in 1976, which team did he play in that year? | SELECT T2.tmID FROM draft AS T1 INNER JOIN teams AS T2 ON T1.tmID = T2.tmID AND T1.draftYear = T2.year WHERE T1.draftRound = 1 AND T1.draftSelection = 6 AND T1.draftYear = 1976 | [
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10,355 | scientist_1 | spider:train_spider.json:6482 | What are the names of projects that have taken longer than the average number of hours for all projects? | SELECT name FROM projects WHERE hours > (SELECT avg(hours) FROM projects) | [
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10,356 | dorm_1 | spider:train_spider.json:5722 | Find the average and oldest age for students with different sex. | SELECT avg(age) , max(age) , sex FROM student GROUP BY sex | [
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10,357 | address_1 | bird:test.json:807 | Show ids for all female (sex is F) students living in state PA. | SELECT StuID FROM City AS T1 JOIN Student AS T2 ON T1.city_code = T2.city_code WHERE T1.state = "PA" AND T2.sex = 'F' | [
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10,358 | cookbook | bird:train.json:8890 | What are the names of the recipes that will cause stomach pain? | SELECT T1.title FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T2.iron > 20 | [
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10,359 | superhero | bird:dev.json:743 | What is the percentage of superheroes who act in their own self-interest or make decisions based on their own moral code? Indicate how many of the said superheroes were published by Marvel Comics. | SELECT (CAST(COUNT(*) AS REAL) * 100 / (SELECT COUNT(*) FROM superhero)), CAST(SUM(CASE WHEN T2.publisher_name = 'Marvel Comics' THEN 1 ELSE 0 END) AS REAL) FROM superhero AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id INNER JOIN alignment AS T3 ON T3.id = T1.alignment_id WHERE T3.alignment = 'Bad' | [
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10,360 | books | bird:train.json:5979 | Who wrote "The Prophet"? | SELECT T3.author_name FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T1.title = 'The Prophet' | [
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},
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"token_idxs": []
... | [
"O",
"O",
"O",
"B-VALUE",
"I-VALUE",
"O",
"O"
] |
10,361 | phone_1 | spider:train_spider.json:1033 | Find the name of the company that has the least number of phone models. List the company name and the number of phone model produced by that company. | SELECT Company_name , count(*) FROM phone GROUP BY Company_name ORDER BY count(*) ASC LIMIT 1; | [
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10,362 | student_loan | bird:train.json:4534 | State name of female students who filed for bankruptcy. | SELECT T1.name FROM person AS T1 INNER JOIN filed_for_bankrupcy AS T2 ON T1.name = T2.name LEFT JOIN male AS T3 ON T1.name = T3.name WHERE T3.name IS NULL | [
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] | [
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"id": 3,
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{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 1,
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"value": "male"
}
] | [
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] |
10,363 | swimming | spider:train_spider.json:5622 | Find the names of stadiums which have never had any event. | SELECT name FROM stadium WHERE id NOT IN (SELECT stadium_id FROM event) | [
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] | [
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"id": 4,
"type": "column",
"value": "stadium_id"
},
{
"id": 0,
"type": "table",
"value": "stadium"
},
{
"id": 3,
"type": "table",
"value": "event"
},
{
"id": 1,
"type": "column",
"value": "name"
},
{
"id": 2,
"type": "column",
"value": "i... | [
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] |
10,364 | codebase_community | bird:dev.json:637 | State all the tags used by Mark Meckes in his posts that doesn't have comments. | SELECT T3.Tags FROM users AS T1 INNER JOIN postHistory AS T2 ON T1.Id = T2.UserId INNER JOIN posts AS T3 ON T3.Id = T2.PostId WHERE T1.DisplayName = 'Mark Meckes' AND T3.CommentCount = 0 | [
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"comments",
"."
] | [
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"id": 8,
"type": "column",
"value": "commentcount"
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{
"id": 3,
"type": "table",
"value": "posthistory"
},
{
"id": 6,
"type": "column",
"value": "displayname"
},
{
"id": 7,
"type": "value",
"value": "Mark Meckes"
},
{
"id": 5,
"type": "colum... | [
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] |
10,365 | store_1 | spider:train_spider.json:576 | What is the email and phone number of Astrid Gruber the customer? | SELECT email , phone FROM customers WHERE first_name = "Astrid" AND last_name = "Gruber"; | [
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] | [
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"id": 4,
"type": "column",
"value": "Astrid"
},
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"type": "column",
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"O"
] |
10,366 | hockey | bird:train.json:7669 | How many players born in Toronto have won the All-Rookie award? | SELECT COUNT(T1.playerID) FROM Master AS T1 INNER JOIN AwardsPlayers AS T2 ON T1.playerID = T2.playerID WHERE T2.award = 'All-Rookie' AND T1.birthCity = 'Toronto' | [
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] | [
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"id": 1,
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{
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"id": 5,
"type": "column",
"value": "birthcity"
},
{
"id": 2,
"type": "column",
"value": "playerid"
},
{
"id": 6,
"type": "value",
... | [
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] |
10,367 | image_and_language | bird:train.json:7607 | Name the most common predicate class of image ID 4434. | SELECT T2.PRED_CLASS FROM IMG_REL AS T1 INNER JOIN PRED_CLASSES AS T2 ON T1.PRED_CLASS_ID = T2.PRED_CLASS_ID WHERE T1.IMG_ID = 4434 ORDER BY T2.PRED_CLASS DESC LIMIT 1 | [
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"class",
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] | [
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"id": 5,
"type": "column",
"value": "pred_class_id"
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{
"id": 2,
"type": "table",
"value": "pred_classes"
},
{
"id": 0,
"type": "column",
"value": "pred_class"
},
{
"id": 1,
"type": "table",
"value": "img_rel"
},
{
"id": 3,
"type": "column",... | [
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"entity_id": 0,
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]
},
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"en... | [
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"B-COLUMN",
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] |
10,368 | club_1 | spider:train_spider.json:4254 | How many students are there? | SELECT count(*) FROM student | [
"How",
"many",
"students",
"are",
"there",
"?"
] | [
{
"id": 0,
"type": "table",
"value": "student"
}
] | [
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"entity_id": 5,
"token_idxs": []
},
{
... | [
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"B-TABLE",
"O",
"O",
"O"
] |
10,369 | retails | bird:train.json:6869 | Please list the names of all the suppliers for the part "hot spring dodger dim light". | SELECT T2.s_name FROM partsupp AS T1 INNER JOIN supplier AS T2 ON T1.ps_suppkey = T2.s_suppkey INNER JOIN part AS T3 ON T1.ps_partkey = T3.p_partkey WHERE T3.p_name = 'hot spring dodger dim light' | [
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] | [
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"value": "ps_partkey"
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"value": "ps_suppkey"
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"type": "column",
"value": "p_partkey"
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{
"id": 9,
"t... | [
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"I-VALUE",
"I-VALUE",
"I-VALUE",
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10,371 | manufactory_1 | spider:train_spider.json:5330 | Compute the average price of all the products. | SELECT avg(price) FROM products | [
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"the",
"average",
"price",
"of",
"all",
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"."
] | [
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"id": 0,
"type": "table",
"value": "products"
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{
"id": 1,
"type": "column",
"value": "price"
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},
{
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},
{
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"token_idxs": ... | [
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
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] |
10,372 | scientist_1 | spider:train_spider.json:6486 | What is the name of the project that has a scientist assigned to it whose name contains 'Smith'? | SELECT T2.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T3.name LIKE '%Smith%' | [
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] | [
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{
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"value": "scientist"
},
{
"id": 4,
"type": "table",
"value": "projects"
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"type": "value",
"v... | [
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"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O"
] |
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