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9,951 | pilot_1 | bird:test.json:1129 | How many planes are controlled by the pilots whose age is older than 40? | SELECT count(plane_name) FROM pilotskills WHERE age > 40 | [
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9,952 | software_company | bird:train.json:8543 | Among the widowed female customers, give the income of those who has an level of education of 5 and below. | SELECT INCOME_K FROM Demog WHERE GEOID IN ( SELECT GEOID FROM Customers WHERE EDUCATIONNUM < 5 AND SEX = 'Female' AND MARITAL_STATUS = 'Widowed' ) | [
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9,953 | shipping | bird:train.json:5607 | To whom did the company transport its heaviest shipment? | SELECT T2.cust_name FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id ORDER BY T1.weight DESC LIMIT 1 | [
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9,954 | computer_student | bird:train.json:983 | How many basic and medium undergraduate courses are there? | SELECT COUNT(*) FROM course WHERE courseLevel = 'Level_300' | [
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9,955 | university | bird:train.json:8033 | Which university had the highest reputation in 2012? | SELECT T2.university_name FROM university_ranking_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id WHERE T1.year = 2012 ORDER BY T1.score DESC LIMIT 1 | [
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9,956 | menu | bird:train.json:5480 | Among the menus in which the dish "Clear green turtle" had appeared, how many of them did not support taking out or booking in advance? | SELECT SUM(CASE WHEN T4.name = 'Clear green turtle' THEN 1 ELSE 0 END) FROM MenuItem AS T1 INNER JOIN MenuPage AS T2 ON T1.menu_page_id = T2.id INNER JOIN Menu AS T3 ON T2.menu_id = T3.id INNER JOIN Dish AS T4 ON T1.dish_id = T4.id WHERE T3.call_number IS NULL | [
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9,957 | olympics | bird:train.json:5068 | What is the name of the youngest competitor? | SELECT T1.full_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id ORDER BY T2.age LIMIT 1 | [
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9,958 | legislator | bird:train.json:4797 | Among legislators who have an Instagram account, list down their full names and nicknames who have a Thomas ID of less than 1000. | SELECT T1.official_full_name, T1.nickname_name FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T2.instagram IS NOT NULL AND T1.thomas_id < 1000 | [
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9,959 | soccer_2 | spider:train_spider.json:4976 | List all information about college sorted by enrollment number in the ascending order. | SELECT * FROM College ORDER BY enr | [
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9,960 | authors | bird:train.json:3662 | Where was the 'A context-based navigation paradigm for accessing Web data' paper published? State the name of the conference. | SELECT T2.FullName FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.Title = 'A context-based navigation paradigm for accessing Web data' | [
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9,961 | country_language | bird:test.json:1369 | Return the maximum and minimum health scores across all countries other than Norway. | SELECT max(health_score) , min(health_score) FROM countries WHERE name != "Norway" | [
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9,962 | european_football_2 | bird:dev.json:1058 | Who has the highest average finishing rate between the highest and shortest football player? | SELECT A FROM ( SELECT AVG(finishing) result, 'Max' A FROM Player AS T1 INNER JOIN Player_Attributes AS T2 ON T1.player_api_id = T2.player_api_id WHERE T1.height = ( SELECT MAX(height) FROM Player ) UNION SELECT AVG(finishing) result, 'Min' A FROM Player AS T1 INNER JOIN Player_Attributes AS T2 ON T1.player_api_id = T2... | [
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9,963 | ice_hockey_draft | bird:train.json:6947 | Identify the name and position of the player who has committed the most rule violations. | SELECT T2.PlayerName, T2.position_info FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.PIM = ( SELECT MAX(PIM) FROM SeasonStatus ) | [
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9,964 | disney | bird:train.json:4657 | Which director did Bill Thompson work the most with? | SELECT director FROM director AS T1 INNER JOIN `voice-actors` AS T2 ON T1.name = T2.movie WHERE T2.`voice-actor` = 'Bill Thompson' GROUP BY director ORDER BY COUNT(director) DESC LIMIT 1 | [
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9,965 | retail_world | bird:train.json:6414 | What is the full name of the employee in charge of the Southern region who is to report to Andrew Fuller? | SELECT DISTINCT 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 INNER JOIN Region AS T4 ON T3.RegionID = T4.RegionID WHERE T4.RegionDescription = 'Southern' AND T1.ReportsTo = ( SELECT Em... | [
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9,966 | movie_2 | bird:test.json:1854 | What are the names of the movies not being shown in any theaters? | SELECT Title FROM Movies WHERE Code NOT IN (SELECT Movie FROM MovieTheaters WHERE Movie != 'null') | [
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9,967 | donor | bird:train.json:3150 | For each donation not from a teacher, state the donor account id and calculate the percentage of donation given for optional support. | SELECT donor_acctid, donation_optional_support / donation_total FROM donations WHERE is_teacher_acct = 'f' | [
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9,968 | solvency_ii | spider:train_spider.json:4583 | How many products are there? | SELECT count(*) FROM Products | [
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9,969 | e_learning | spider:train_spider.json:3783 | Find the number of distinct courses that have enrolled students. | SELECT count(course_id) FROM Student_Course_Enrolment | [
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9,970 | legislator | bird:train.json:4813 | List out the first name of legislators who are senior Senator. | SELECT T1.first_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.state_rank = 'senior' GROUP BY T1.first_name | [
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9,971 | movie_3 | bird:train.json:9265 | What language was the most used in movies released in 2006? | SELECT T.language_id FROM ( SELECT T1.language_id, COUNT(T1.language_id) AS num FROM film AS T1 INNER JOIN language AS T2 ON T1.language_id = T2.language_id WHERE STRFTIME('%Y',T1.release_year) = '2006' GROUP BY T1.language_id ) AS T ORDER BY T.num DESC LIMIT 1 | [
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9,972 | books | bird:train.json:5969 | List the email of customers that bought the book titled Switch on the Night. | SELECT T4.email FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id INNER JOIN cust_order AS T3 ON T3.order_id = T2.order_id INNER JOIN customer AS T4 ON T4.customer_id = T3.customer_id WHERE T1.title = 'Switch on the Night' | [
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9,973 | insurance_fnol | spider:train_spider.json:929 | List all the customers in increasing order of IDs. | SELECT customer_id , customer_name FROM customers ORDER BY customer_id ASC | [
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9,974 | csu_1 | spider:train_spider.json:2373 | How many faculty, in total, are there in the year 2002? | SELECT sum(faculty) FROM faculty WHERE YEAR = 2002 | [
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9,975 | professional_basketball | bird:train.json:2939 | In the year 1998, how many home wins did the team which had the 1st round, 12th pick have that year? | SELECT T2.homeWon 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 = 12 AND T1.draftYear = 1998 | [
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9,976 | gymnast | spider:train_spider.json:1740 | List the total points of gymnasts in descending order of floor exercise points. | SELECT Total_Points FROM gymnast ORDER BY Floor_Exercise_Points DESC | [
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9,978 | car_racing | bird:test.json:1631 | Which country has both drivers with make "Dodge" and drivers with make "Chevrolet"? | SELECT t2.country FROM driver AS t1 JOIN country AS t2 ON t1.country = t2.country_id WHERE t1.Make = "Dodge" INTERSECT SELECT t2.country FROM driver AS t1 JOIN country AS t2 ON t1.country = t2.country_id WHERE t1.Make = "Chevrolet" | [
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9,979 | synthea | bird:train.json:1391 | What is the most common allergy among patients? | SELECT DESCRIPTION FROM allergies GROUP BY DESCRIPTION ORDER BY COUNT(DESCRIPTION) DESC LIMIT 1 | [
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9,981 | works_cycles | bird:train.json:7437 | What is the bussiness id for Mr. Hung-Fu Ting? | SELECT BusinessEntityID FROM Person WHERE Title = 'Mr.' AND FirstName = 'Hung-Fu' AND LastName = 'Ting' | [
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9,982 | tracking_grants_for_research | spider:train_spider.json:4334 | Find out the send dates of the documents with the grant amount of more than 5000 were granted by organisation type described | SELECT T1.sent_date FROM documents AS T1 JOIN Grants AS T2 ON T1.grant_id = T2.grant_id JOIN Organisations AS T3 ON T2.organisation_id = T3.organisation_id JOIN organisation_Types AS T4 ON T3.organisation_type = T4.organisation_type WHERE T2.grant_amount > 5000 AND T4.organisation_type_description = 'Research... | [
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9,983 | food_inspection | bird:train.json:8802 | What is the average score for "Chairman Bao" in all its unscheduled routine inspections? | SELECT CAST(SUM(CASE WHEN T2.name = 'Chairman Bao' THEN T1.score ELSE 0 END) AS REAL) / COUNT(CASE WHEN T1.type = 'Routine - Unscheduled' THEN T1.score ELSE 0 END) FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id | [
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9,984 | ship_1 | spider:train_spider.json:6232 | Which classes have more than two captains? | SELECT CLASS FROM captain GROUP BY CLASS HAVING count(*) > 2 | [
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9,985 | language_corpus | bird:train.json:5806 | How many times greater is the appearances of the biword pair "a base" than "a decimal"? | SELECT CAST(occurrences AS REAL) / ( SELECT occurrences FROM biwords WHERE w1st = ( SELECT wid FROM words WHERE word = 'a' ) AND w2nd = ( SELECT wid FROM words WHERE word = 'decimal' ) ) FROM biwords WHERE w1st = ( SELECT wid FROM words WHERE word = 'a' ) AND w2nd = ( SELECT wid FROM words WHERE word = 'base' ) | [
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9,986 | hospital_1 | spider:train_spider.json:3969 | Sort the list of names and costs of all procedures in the descending order of cost. | SELECT name , cost FROM procedures ORDER BY cost DESC | [
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9,987 | food_inspection_2 | bird:train.json:6146 | What is the full name of the employee who was responsible for the most inspection in March 2016? | SELECT T3.first_name, T3.last_name FROM ( SELECT T1.employee_id, COUNT(T1.inspection_id) FROM inspection AS T1 WHERE strftime('%Y-%m', T1.inspection_date) = '2016-03' GROUP BY T1.employee_id ORDER BY COUNT(T1.inspection_id) DESC LIMIT 1 ) AS T2 INNER JOIN employee AS T3 ON T2.employee_id = T3.employee_id | [
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9,988 | card_games | bird:dev.json:347 | Find all cards illustrated by Stephen Daniel and describe the text of the ruling of these cards. State if these cards have missing or degraded properties and values. | SELECT T1.id, T2.text, T1.hasContentWarning FROM cards AS T1 INNER JOIN rulings AS T2 ON T1.uuid = T2.uuid WHERE T1.artist = 'Stephen Daniele' | [
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9,989 | synthea | bird:train.json:1412 | Give the social security number of the female Irish patient allergic to grass pollen. | SELECT T2.ssn FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Allergy to grass pollen' AND T2.ethnicity = 'irish' AND T2.gender = 'F' | [
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9,990 | bakery_1 | bird:test.json:1505 | List all the flavors of Croissant available in this bakery. | SELECT flavor FROM goods WHERE food = "Croissant" | [
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9,991 | phone_1 | spider:train_spider.json:1040 | List the hardware model name for the phons that were produced by "Nokia Corporation" but whose screen mode type is not Text. | SELECT DISTINCT T2.Hardware_Model_name FROM screen_mode AS T1 JOIN phone AS T2 ON T1.Graphics_mode = T2.screen_mode WHERE t2.Company_name = "Nokia Corporation" AND T1.Type != "Text"; | [
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9,992 | movielens | bird:train.json:2256 | Among the best actors, how many of them got a rating of 5 to the movies they starred? | SELECT COUNT(T1.actorid) FROM actors AS T1 INNER JOIN movies2actors AS T2 ON T1.actorid = T2.actorid INNER JOIN u2base AS T3 ON T2.movieid = T3.movieid WHERE T1.a_quality = 5 AND T3.rating = 5 | [
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9,993 | retail_complains | bird:train.json:382 | How many customers in the Northeast use Microsoft email? | SELECT COUNT(T1.email) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T3.Region = 'Northeast' AND T1.email LIKE '%@outlook.com' | [
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9,994 | activity_1 | spider:train_spider.json:6744 | How many faculty members do we have for each rank and gender? | SELECT rank , sex , count(*) FROM Faculty GROUP BY rank , sex | [
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9,995 | food_inspection_2 | bird:train.json:6120 | Among the inspections done by sanitarian Joshua Rosa, how many of them have the result of "pass"? | SELECT COUNT(T2.inspection_id) FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.results = 'Pass' AND T1.first_name = 'Joshua' AND T1.last_name = 'Rosa' | [
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9,996 | world_development_indicators | bird:train.json:2212 | What is the subject of the series SP.DYN.AMRT.MA and what does it pertain to? | SELECT DISTINCT T1.Topic, T2.Description FROM Series AS T1 INNER JOIN SeriesNotes AS T2 ON T1.SeriesCode = T2.Seriescode WHERE T1.SeriesCode = 'SP.DYN.AMRT.MA' | [
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9,997 | shipping | bird:train.json:5603 | Who was the driver of truck no.3 on 2016/9/19? Tell the full name. | SELECT T3.first_name, T3.last_name FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id INNER JOIN driver AS T3 ON T3.driver_id = T2.driver_id WHERE T1.truck_id = '3' AND T2.ship_date = '2016-09-19' | [
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9,998 | student_club | bird:dev.json:1386 | What is the total expense for the Yearly Kickoff? | SELECT SUM(T3.cost) FROM event AS T1 INNER JOIN budget AS T2 ON T1.event_id = T2.link_to_event INNER JOIN expense AS T3 ON T2.budget_id = T3.link_to_budget WHERE T1.event_name = 'Yearly Kickoff' | [
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9,999 | cookbook | bird:train.json:8881 | Which recipe needs the most frozen raspberries in light syrup? State its title. | SELECT T1.title FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T3.name = 'frozen raspberries in light syrup' AND T2.max_qty = T2.min_qty | [
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10,000 | books | bird:train.json:6004 | What is the address that received the most orders? | SELECT T2.street_name, T2.city FROM cust_order AS T1 INNER JOIN address AS T2 ON T1.dest_address_id = T2.address_id GROUP BY T2.street_number, T2.street_name, T2.city ORDER BY COUNT(T1.dest_address_id) DESC LIMIT 1 | [
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10,001 | sales | bird:train.json:5417 | List the first names of employees with trading quantity for more than 500. | SELECT DISTINCT T1.FirstName FROM Employees AS T1 INNER JOIN Sales AS T2 ON T1.EmployeeID = T2.SalesPersonID WHERE T2.Quantity > 500 | [
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10,002 | olympics | bird:train.json:4938 | How many competitor ids does Martina Kohlov have? | SELECT COUNT(T2.id) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id WHERE T1.full_name = 'Martina Kohlov' | [
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10,003 | movie_1 | spider:train_spider.json:2472 | Return reviewer name, movie title, stars, and ratingDate. And sort the data first by reviewer name, then by movie title, and lastly by number of stars. | SELECT T3.name , T2.title , T1.stars , T1.ratingDate FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID JOIN Reviewer AS T3 ON T1.rID = T3.rID ORDER BY T3.name , T2.title , T1.stars | [
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10,004 | authors | bird:train.json:3624 | Give the number of papers that were published on "IEEE Transactions on Nuclear Science" in 1999. | SELECT COUNT(T2.Id) FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.FullName = 'IEEE Transactions on Nuclear Science' AND T2.Year = 1999 | [
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10,005 | donor | bird:train.json:3158 | How much donations have been collected for project 'Whistle While We Work!'? | SELECT SUM(T2.donation_to_project) FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.title = 'Whistle While We Work!' | [
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10,006 | simpson_episodes | bird:train.json:4267 | Please list two people who are the nominees for the "Outstanding Voice-Over Performance" award for season 20. | SELECT person FROM Award WHERE result = 'Nominee' AND award = 'Outstanding Voice-Over Performance' AND episode_id LIKE 'S20%' LIMIT 2; | [
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10,007 | movie_3 | bird:train.json:9158 | State the address location of store No.1. | SELECT T1.address, T1.address2, T1.district FROM address AS T1 INNER JOIN store AS T2 ON T1.address_id = T2.address_id WHERE T2.store_id = 1 | [
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10,008 | movies_4 | bird:train.json:463 | List the director's name of the movies released between 1/01/1916 and 12/31/1925. | SELECT T2.person_name FROM movie_cast AS T1 INNER JOIN person AS T2 ON T1.person_id = T2.person_id INNER JOIN movie AS T3 ON T1.movie_id = T3.movie_id INNER JOIN movie_crew AS T4 ON T1.movie_id = T4.movie_id WHERE T4.job = 'Director' AND T3.release_date BETWEEN '1916-01-01' AND '1925-12-31' | [
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10,009 | restaurant | bird:train.json:1754 | Among the restaurants on street number below 1000, how many of them are in Railroad St.? | SELECT COUNT(city) FROM location WHERE street_name = 'railroad' AND street_num < 1000 | [
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10,010 | club_1 | spider:train_spider.json:4285 | Where us the club named "Tennis Club" located? | SELECT clublocation FROM club WHERE clubname = "Tennis Club" | [
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10,011 | icfp_1 | spider:train_spider.json:2868 | How many papers have "Atsushi Ohori" published? | SELECT count(*) FROM authors AS t1 JOIN authorship AS t2 ON t1.authid = t2.authid JOIN papers AS t3 ON t2.paperid = t3.paperid WHERE t1.fname = "Atsushi" AND t1.lname = "Ohori" | [
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] | [
{
"id": 2,
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{
"id": 1,
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"id": 3,
"type": "column",
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{
"id": 5,
"type": "column",
"value": "Atsushi"
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"id": 0,
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10,012 | hospital_1 | spider:train_spider.json:3967 | Tell me the highest, lowest, and average cost of procedures. | SELECT MAX(cost) , MIN(cost) , AVG(cost) FROM procedures | [
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{
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] |
10,013 | retail_world | bird:train.json:6380 | How many products were ordered in the order with the highest freight? | SELECT COUNT(T2.ProductID) FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID GROUP BY T2.ProductID ORDER BY COUNT(T1.Freight) DESC LIMIT 1 | [
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{
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"... | [
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10,014 | public_review_platform | bird:train.json:3829 | Please name one attribute that business number 2 does not have. | SELECT T1.attribute_name FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value LIKE 'none' LIMIT 1 | [
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] |
10,016 | retail_complains | bird:train.json:378 | Please calculate the number of clients by each division. | SELECT T2.division, COUNT(T2.division) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id GROUP BY T2.division | [
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{
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{
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"type": "table",
"value": "district"
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{
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] |
10,017 | product_catalog | spider:train_spider.json:336 | Which catalog contents has price above 700 dollars? Show their catalog entry names and capacities. | SELECT catalog_entry_name , capacity FROM Catalog_Contents WHERE price_in_dollars > 700 | [
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"id": 1,
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{
"id": 0,
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] |
10,018 | gas_company | spider:train_spider.json:2033 | order all gas station locations by the opening year. | SELECT LOCATION FROM gas_station ORDER BY open_year | [
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"gas",
"station",
"locations",
"by",
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"."
] | [
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"id": 0,
"type": "table",
"value": "gas_station"
},
{
"id": 2,
"type": "column",
"value": "open_year"
},
{
"id": 1,
"type": "column",
"value": "location"
}
] | [
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] |
10,019 | sales_in_weather | bird:train.json:8181 | Which weather station has the highest number of stores? | SELECT station_nbr FROM relation GROUP BY station_nbr ORDER BY COUNT(store_nbr) DESC LIMIT 1 | [
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"?"
] | [
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"id": 1,
"type": "column",
"value": "station_nbr"
},
{
"id": 2,
"type": "column",
"value": "store_nbr"
},
{
"id": 0,
"type": "table",
"value": "relation"
}
] | [
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10,020 | law_episode | bird:train.json:1335 | Which role have won at least two awards for the entire season and list out the name? | SELECT T1.name FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id GROUP BY T2.role HAVING COUNT(T2.award_id) > 1 | [
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] | [
{
"id": 5,
"type": "column",
"value": "person_id"
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{
"id": 6,
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"value": "award_id"
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{
"id": 2,
"type": "table",
"value": "person"
},
{
"id": 3,
"type": "table",
"value": "award"
},
{
"id": 0,
"type": "column",
"value": ... | [
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10,022 | movie_2 | bird:test.json:1851 | Show all information of all unrated movies. | SELECT * FROM movies WHERE rating = 'null' | [
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"information",
"of",
"all",
"unrated",
"movies",
"."
] | [
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"id": 0,
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"value": "movies"
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{
"id": 1,
"type": "column",
"value": "rating"
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{
"id": 2,
"type": "value",
"value": "null"
}
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10,023 | regional_sales | bird:train.json:2716 | How many sales teams are there in the Midwest? | SELECT SUM(CASE WHEN Region = 'Midwest' THEN 1 ELSE 0 END) FROM `Sales Team` | [
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] | [
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"id": 0,
"type": "table",
"value": "Sales Team"
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"type": "value",
"value": "Midwest"
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{
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"type": "column",
"value": "region"
},
{
"id": 1,
"type": "value",
"value": "0"
},
{
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] |
10,024 | store_product | spider:train_spider.json:4941 | What is the total population for all the districts that have an area larger tahn the average city area? | SELECT sum(city_population) FROM district WHERE city_area > (SELECT avg(city_area) FROM district) | [
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{
"id": 0,
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] |
10,026 | cre_Students_Information_Systems | bird:test.json:501 | How much total loan does each student have ? List the student ids and the amounts . | select student_id , sum(amount_of_loan) from student_loans group by student_id | [
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"value": "student_loans"
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{
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] |
10,027 | cre_Students_Information_Systems | bird:test.json:493 | When was the earliest date of loan? | SELECT date_of_loan FROM Student_Loans ORDER BY date_of_loan ASC LIMIT 1 | [
"When",
"was",
"the",
"earliest",
"date",
"of",
"loan",
"?"
] | [
{
"id": 0,
"type": "table",
"value": "student_loans"
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{
"id": 1,
"type": "column",
"value": "date_of_loan"
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10,028 | district_spokesman | bird:test.json:1180 | Select the area and government website of the district with the smallest population. | SELECT area_km , Government_website FROM district ORDER BY Population LIMIT 1 | [
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] | [
{
"id": 2,
"type": "column",
"value": "government_website"
},
{
"id": 3,
"type": "column",
"value": "population"
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{
"id": 0,
"type": "table",
"value": "district"
},
{
"id": 1,
"type": "column",
"value": "area_km"
}
] | [
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] |
10,029 | bbc_channels | bird:test.json:125 | Which director is in charge of the most programs? | SELECT t2.name FROM program AS t1 JOIN director AS t2 ON t1.director_id = t2.director_id GROUP BY t1.director_id ORDER BY count(*) DESC LIMIT 1 | [
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] | [
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"id": 0,
"type": "column",
"value": "director_id"
},
{
"id": 3,
"type": "table",
"value": "director"
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{
"id": 2,
"type": "table",
"value": "program"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] | [
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10,030 | codebase_community | bird:dev.json:575 | What is the badge name that user 'SilentGhost' obtained? | SELECT T2.Name FROM users AS T1 INNER JOIN badges AS T2 ON T1.Id = T2.UserId WHERE T1.DisplayName = 'SilentGhost' | [
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] | [
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"id": 3,
"type": "column",
"value": "displayname"
},
{
"id": 4,
"type": "value",
"value": "SilentGhost"
},
{
"id": 2,
"type": "table",
"value": "badges"
},
{
"id": 6,
"type": "column",
"value": "userid"
},
{
"id": 1,
"type": "table",
"val... | [
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10,031 | retail_world | bird:train.json:6322 | Of all the orders that have ordered Ikura, how many of them enjoys a unit price that's lower than its standard unit price? | SELECT COUNT(T2.OrderID) FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ProductName = 'Ikura' AND T2.UnitPrice < T1.UnitPrice | [
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10,032 | party_host | spider:train_spider.json:2677 | Which nations have both hosts of age above 45 and hosts of age below 35? | SELECT Nationality FROM HOST WHERE Age > 45 INTERSECT SELECT Nationality FROM HOST WHERE Age < 35 | [
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10,033 | club_1 | spider:train_spider.json:4287 | Where is the club "Pen and Paper Gaming" located? | SELECT clublocation FROM club WHERE clubname = "Pen and Paper Gaming" | [
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10,034 | music_4 | spider:train_spider.json:6168 | What are the songs in volumes that have resulted in a nomination at music festivals? | SELECT T2.Song FROM music_festival AS T1 JOIN volume AS T2 ON T1.Volume = T2.Volume_ID WHERE T1.Result = "Nominated" | [
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10,035 | soccer_2016 | bird:train.json:1894 | List the name of the players born between 1970 and 1990 in descending order of age. | SELECT Player_Name FROM Player WHERE DOB BETWEEN '1970-01-01' AND '1990-12-31' ORDER BY DOB DESC | [
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10,036 | movie_3 | bird:train.json:9399 | Which category is the film "Beach Heartbreakers" falls into? | SELECT T3.name FROM film AS T1 INNER JOIN film_category AS T2 ON T1.film_id = T2.film_id INNER JOIN category AS T3 ON T2.category_id = T3.category_id WHERE T1.title = 'BEACH HEARTBREAKERS' | [
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10,038 | device | spider:train_spider.json:5071 | What are the names of shops that have more than a single kind of device in stock? | SELECT T2.Shop_Name FROM stock AS T1 JOIN shop AS T2 ON T1.Shop_ID = T2.Shop_ID GROUP BY T1.Shop_ID HAVING COUNT(*) > 1 | [
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10,039 | hockey | bird:train.json:7769 | Among the coaches who have taught the Philadelphia Flyers, how many of them are born in March? | SELECT COUNT(DISTINCT T3.coachID) FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T1.year = T2.year AND T1.tmID = T2.tmID INNER JOIN Master AS T3 ON T1.coachID = T3.coachID WHERE T2.name = 'Philadelphia Flyers' AND T3.birthMon = 3 | [
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10,040 | works_cycles | bird:train.json:7090 | What company has a Colonial Voice card that expired in March 2005? | SELECT T2.BusinessEntityID FROM CreditCard AS T1 INNER JOIN PersonCreditCard AS T2 ON T1.CreditCardID = T2.CreditCardID WHERE T1.CardType = 'ColonialVoice' AND T1.ExpMonth = 3 AND T1.ExpYear = 2005 | [
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10,041 | food_inspection_2 | bird:train.json:6221 | How much salary does Jessica Anthony receive? | SELECT salary FROM employee WHERE first_name = 'Jessica' AND last_name = 'Anthony' | [
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10,042 | department_store | spider:train_spider.json:4720 | How many customers use each payment method? | SELECT payment_method_code , count(*) FROM customers GROUP BY payment_method_code | [
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10,043 | movie_3 | bird:train.json:9381 | Indicate the percentage of inactive customers at store no.1. | SELECT CAST(SUM(CASE WHEN active = 0 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(customer_id) FROM customer WHERE store_id = 1 | [
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10,044 | roller_coaster | spider:train_spider.json:6208 | What are the speeds of the longest roller coaster? | SELECT Speed FROM roller_coaster ORDER BY LENGTH DESC LIMIT 1 | [
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10,045 | products_gen_characteristics | spider:train_spider.json:5535 | How many products are in the 'Spices' category and have a typical price of over 1000? | SELECT count(*) FROM products WHERE product_category_code = "Spices" AND typical_buying_price > 1000 | [
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10,046 | network_2 | spider:train_spider.json:4468 | Who is the friend of Zach with longest year relationship? | SELECT friend FROM PersonFriend WHERE name = 'Zach' AND YEAR = (SELECT max(YEAR) FROM PersonFriend WHERE name = 'Zach') | [
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10,047 | cre_Doc_and_collections | bird:test.json:740 | What are the collection subsets that the collection named 'Best' in? | SELECT DISTINCT T1.Collection_Subset_Name FROM Collection_Subsets AS T1 JOIN Collection_Subset_Members AS T2 ON T1.Collection_Subset_ID = T2.Collection_Subset_ID JOIN Collections AS T3 ON T2.Collection_ID = T3.Collection_ID WHERE T3.Collection_Name = "Best"; | [
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] | [
{
"id": 5,
"type": "table",
"value": "collection_subset_members"
},
{
"id": 0,
"type": "column",
"value": "collection_subset_name"
},
{
"id": 7,
"type": "column",
"value": "collection_subset_id"
},
{
"id": 4,
"type": "table",
"value": "collection_subsets"
... | [
{
"entity_id": 0,
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{
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{
"entity... | [
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"B-COLUMN",
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"B-COLUMN",
"O",
"O",
"O"
] |
10,048 | works_cycles | bird:train.json:7037 | How many active employees whose payrate is equal or below 30 per hour. | SELECT COUNT(T1.BusinessEntityID) FROM Employee AS T1 INNER JOIN EmployeePayHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.CurrentFlag = 1 AND T2.Rate <= 30 | [
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] | [
{
"id": 1,
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},
{
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"value": "businessentityid"
},
{
"id": 3,
"type": "column",
"value": "currentflag"
},
{
"id": 0,
"type": "table",
"value": "employee"
},
{
"id": 5,
"type"... | [
{
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{
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... | [
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"O",
"O",
"B-VALUE",
"O",
"O",
"O"
] |
10,049 | customers_card_transactions | spider:train_spider.json:684 | How many customers do not have an account? | SELECT count(*) FROM Customers WHERE customer_id NOT IN (SELECT customer_id FROM Accounts) | [
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"many",
"customers",
"do",
"not",
"have",
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"account",
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] | [
{
"id": 1,
"type": "column",
"value": "customer_id"
},
{
"id": 0,
"type": "table",
"value": "customers"
},
{
"id": 2,
"type": "table",
"value": "accounts"
}
] | [
{
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},
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},
{
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"token_idxs": []
},
{
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"token_idxs": []
},
{
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"token_idxs": ... | [
"O",
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"B-TABLE",
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"O",
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] |
10,050 | european_football_2 | bird:dev.json:1142 | In the 2015–2016 season, how many games were played in the Italian Serie A league? | SELECT COUNT(t2.id) FROM League AS t1 INNER JOIN Match AS t2 ON t1.id = t2.league_id WHERE t1.name = 'Italy Serie A' AND t2.season = '2015/2016' | [
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] | [
{
"id": 5,
"type": "value",
"value": "Italy Serie A"
},
{
"id": 3,
"type": "column",
"value": "league_id"
},
{
"id": 7,
"type": "value",
"value": "2015/2016"
},
{
"id": 0,
"type": "table",
"value": "league"
},
{
"id": 6,
"type": "column",
"... | [
{
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},
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},
{
"entity_id": 4,
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},
{
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"token_idxs":... | [
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"O",
"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"B-TABLE",
"O"
] |
10,051 | document_management | spider:train_spider.json:4499 | Find the name and access counts of all documents, in alphabetic order of the document name. | SELECT document_name , access_count FROM documents ORDER BY document_name | [
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] | [
{
"id": 1,
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"value": "document_name"
},
{
"id": 2,
"type": "column",
"value": "access_count"
},
{
"id": 0,
"type": "table",
"value": "documents"
}
] | [
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"entity_id": 0,
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]
},
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]
},
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5
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},
{
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},
{
"entity_id": 4,
"token_idxs": []
},
{
"... | [
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"O",
"O",
"O",
"O",
"O",
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"O"
] |
10,052 | sports_competition | spider:train_spider.json:3382 | What is the number of players who have points less than 30 for each position? | SELECT count(*) , POSITION FROM player WHERE points < 30 GROUP BY POSITION | [
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] | [
{
"id": 1,
"type": "column",
"value": "position"
},
{
"id": 0,
"type": "table",
"value": "player"
},
{
"id": 2,
"type": "column",
"value": "points"
},
{
"id": 3,
"type": "value",
"value": "30"
}
] | [
{
"entity_id": 0,
"token_idxs": [
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},
{
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{
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]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entit... | [
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"O",
"O",
"B-VALUE",
"O",
"O",
"B-COLUMN",
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] |
10,053 | planet_1 | bird:test.json:1884 | What is the smallest number of packages received and by whom ? | select t2.name , count(*) from package as t1 join client as t2 on t1.recipient = t2.accountnumber group by t1.recipient order by count(*) limit 1; | [
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] | [
{
"id": 4,
"type": "column",
"value": "accountnumber"
},
{
"id": 0,
"type": "column",
"value": "recipient"
},
{
"id": 2,
"type": "table",
"value": "package"
},
{
"id": 3,
"type": "table",
"value": "client"
},
{
"id": 1,
"type": "column",
"v... | [
{
"entity_id": 0,
"token_idxs": [
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]
},
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},
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},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"... | [
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"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"O",
"O"
] |
10,054 | boat_1 | bird:test.json:888 | What is average age of all sailors who have a rating of 7? | SELECT AVG(age) FROM Sailors WHERE rating = 7 | [
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"is",
"average",
"age",
"of",
"all",
"sailors",
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"?"
] | [
{
"id": 0,
"type": "table",
"value": "sailors"
},
{
"id": 1,
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"value": "rating"
},
{
"id": 3,
"type": "column",
"value": "age"
},
{
"id": 2,
"type": "value",
"value": "7"
}
] | [
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"entity_id": 0,
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},
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},
{
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"token_idxs": [
3
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entit... | [
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"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
10,055 | retail_world | bird:train.json:6358 | What is the most expensive product? | SELECT ProductName FROM Products WHERE UnitPrice = ( SELECT MAX(UnitPrice) FROM Products ) | [
"What",
"is",
"the",
"most",
"expensive",
"product",
"?"
] | [
{
"id": 1,
"type": "column",
"value": "productname"
},
{
"id": 2,
"type": "column",
"value": "unitprice"
},
{
"id": 0,
"type": "table",
"value": "products"
}
] | [
{
"entity_id": 0,
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]
},
{
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},
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},
{
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},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
... | [
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
10,056 | cs_semester | bird:train.json:913 | Provide the full names and emails of unpaid research assistants. | SELECT T2.f_name, T2.l_name, T2.email FROM RA AS T1 INNER JOIN student AS T2 ON T1.student_id = T2.student_id WHERE T1.salary = 'free' | [
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"."
] | [
{
"id": 7,
"type": "column",
"value": "student_id"
},
{
"id": 4,
"type": "table",
"value": "student"
},
{
"id": 0,
"type": "column",
"value": "f_name"
},
{
"id": 1,
"type": "column",
"value": "l_name"
},
{
"id": 5,
"type": "column",
"value"... | [
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
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]
},
{
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5
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},
{
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},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": ... | [
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"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O"
] |
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