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1,289 | browser_web | spider:train_spider.json:1827 | List the name of browsers in descending order by market share. | SELECT name FROM browser ORDER BY market_share DESC | [
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1,292 | soccer_2016 | bird:train.json:1889 | Count the total venues located in Pune City. | SELECT SUM(T1.Venue_Name) FROM Venue AS T1 INNER JOIN City AS T2 ON T1.City_Id = T2.City_Id WHERE T2.City_Name = 'Pune' | [
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1,293 | products_gen_characteristics | spider:train_spider.json:5556 | How many distinct characteristic names does the product "cumin" have? | SELECT count(DISTINCT 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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1,294 | soccer_1 | spider:train_spider.json:1304 | List all of the ids for left-footed players with a height between 180cm and 190cm. | SELECT player_api_id FROM Player WHERE height >= 180 AND height <= 190 INTERSECT SELECT player_api_id FROM Player_Attributes WHERE preferred_foot = "left" | [
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1,295 | gymnast | spider:train_spider.json:1762 | What is the most common hometown of gymnasts? | SELECT T2.Hometown FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID GROUP BY T2.Hometown ORDER BY COUNT(*) DESC LIMIT 1 | [
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1,296 | authors | bird:train.json:3594 | What are the three journals that the papers written by Andrew Cain were published in? Please provide your answer with the full name of each journal. | SELECT T3.FullName FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Journal AS T3 ON T1.JournalId = T3.Id WHERE T2.Name = 'Andrew Cain' | [
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1,297 | shakespeare | bird:train.json:2996 | Which of Shakespeare's work has chapter description of "A field near Windsor"? | SELECT T2.Title FROM chapters AS T1 INNER JOIN works AS T2 ON T1.work_id = T2.id WHERE T1.Description = 'A field near Windsor.' | [
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1,298 | student_loan | bird:train.json:4501 | How many students enlist in the air force organization? | SELECT COUNT(name) FROM enlist WHERE organ = 'air_force' | [
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1,299 | soccer_2 | spider:train_spider.json:5024 | Find the names of either colleges in LA with greater than 15000 size or in state AZ with less than 13000 enrollment. | SELECT cName FROM College WHERE enr < 13000 AND state = "AZ" UNION SELECT cName FROM College WHERE enr > 15000 AND state = "LA" | [
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1,300 | car_racing | bird:test.json:1612 | What is the list of drivers ordered by points in descending order? | SELECT Driver FROM driver ORDER BY Points DESC | [
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1,301 | small_bank_1 | spider:train_spider.json:1799 | What is the name corresponding to the accoung with the lowest sum of checking and savings balances? | SELECT T1.name FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid JOIN savings AS T3 ON T1.custid = T3.custid ORDER BY T2.balance + T3.balance LIMIT 1 | [
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1,302 | donor | bird:train.json:3193 | Please list the types of resources that the vendor Lakeshore Learning Materials has provided for the projects. | SELECT DISTINCT project_resource_type FROM resources WHERE vendor_name = 'Lakeshore Learning Materials' | [
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1,303 | food_inspection_2 | bird:train.json:6132 | Who is responsible for most of the inspections? Give the full name. | SELECT T.first_name, T.last_name FROM ( SELECT T2.employee_id, T2.first_name, T2.last_name, COUNT(T1.inspection_id) FROM inspection AS T1 INNER JOIN employee AS T2 ON T1.employee_id = T2.employee_id GROUP BY T2.employee_id, T2.first_name, T2.last_name ORDER BY COUNT(T1.inspection_id) DESC LIMIT 1 ) AS T | [
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1,304 | student_club | bird:dev.json:1375 | List all the members of the "School of Applied Sciences, Technology and Education" department. | SELECT T1.first_name, T1.last_name FROM member AS T1 INNER JOIN major AS T2 ON T1.link_to_major = T2.major_id WHERE T2.department = 'School of Applied Sciences, Technology and Education' | [
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1,305 | institution_sports | bird:test.json:1673 | List the nicknames of institutions in descending order of capacity. | SELECT T1.Nickname FROM championship AS T1 JOIN institution AS T2 ON T1.Institution_ID = T2.Institution_ID ORDER BY T2.Capacity DESC | [
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1,306 | vehicle_rent | bird:test.json:417 | Show the name and age of the customer with maximum membership credit. | SELECT name , age FROM customers ORDER BY membership_credit DESC LIMIT 1 | [
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1,308 | soccer_3 | bird:test.json:29 | Which manufacturers work for more than 1 club? | SELECT Manufacturer FROM club GROUP BY Manufacturer HAVING COUNT(*) > 1 | [
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1,309 | codebase_comments | bird:train.json:575 | Which repository has the longest amount of processed time of downloading? Indicate whether the solution paths in the repository can be implemented without needs of compilation. | SELECT DISTINCT T1.id, T2.WasCompiled FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.ProcessedTime = ( SELECT MAX(ProcessedTime) FROM Repo ) | [
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1,310 | mondial_geo | bird:train.json:8327 | What is the average population for all cities location at Baltic Sea? | SELECT AVG(T1.Population) FROM city AS T1 INNER JOIN located AS T2 ON T1.Name = T2.City INNER JOIN sea AS T3 ON T3.Name = T2.Sea WHERE T3.Name = 'Baltic Sea' | [
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1,311 | law_episode | bird:train.json:1352 | Who was the actor who was portraying "Alex Brown" and has been credited? | SELECT T1.name FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.person_id = T2.person_id WHERE T2.role = 'Alex Brown' AND T2.credited = 'true' | [
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1,313 | customers_and_addresses | spider:train_spider.json:6092 | What are the state and country of all the cities that have post codes starting with 4.\ | SELECT state_province_county , country FROM addresses WHERE zip_postcode LIKE "4%" | [
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1,314 | college_2 | spider:train_spider.json:1330 | Find the name and building of the department with the highest budget. | SELECT dept_name , building FROM department ORDER BY budget DESC LIMIT 1 | [
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1,315 | citeseer | bird:train.json:4154 | How many papers were cited by schmidt99advanced cited word3555? | SELECT COUNT(T2.paper_id) FROM cites AS T1 INNER JOIN content AS T2 ON T1.cited_paper_id = T2.paper_id WHERE T1.citing_paper_id = 'schmidt99advanced' AND T2.word_cited_id = 'word3555' | [
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1,316 | epinions_1 | spider:train_spider.json:1705 | List the titles of all items in alphabetic order . | SELECT title FROM item ORDER BY title | [
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1,317 | chinook_1 | spider:train_spider.json:847 | How many customers have email that contains "gmail.com"? | SELECT COUNT(*) FROM CUSTOMER WHERE Email LIKE "%gmail.com%" | [
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1,318 | movies_4 | bird:train.json:505 | List down the movies produced by Lucasfilm. | SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Lucasfilm' | [
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1,319 | professional_basketball | bird:train.json:2857 | Please list the top three shortest black players. | SELECT firstName, lastName FROM players WHERE race = 'B' AND height > 0 ORDER BY height ASC LIMIT 3 | [
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1,321 | synthea | bird:train.json:1432 | List down the first name of patients who encountered normal pregnancy. | SELECT DISTINCT T1.first FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T2.REASONDESCRIPTION = 'Normal pregnancy' | [
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1,322 | student_loan | bird:train.json:4554 | What are the names of the students who joined the Marines? | SELECT name FROM enlist WHERE organ = 'marines' | [
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1,323 | toxicology | bird:dev.json:206 | What elements are in the TR004_8_9 bond atoms? | SELECT DISTINCT T1.element FROM atom AS T1 INNER JOIN connected AS T2 ON T1.atom_id = T2.atom_id WHERE T2.bond_id = 'TR004_8_9' | [
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1,325 | city_record | spider:train_spider.json:6306 | What are the GDP and population of the city that already served as a host more than once? | 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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1,326 | software_company | bird:train.json:8561 | List down the geographic identifier with an number of inhabitants less than 30. | SELECT GEOID FROM Demog WHERE INHABITANTS_K < 30 | [
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1,327 | works_cycles | bird:train.json:7033 | What are the names of the product that has the lowest rating? | SELECT T2.Name FROM ProductReview AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Rating = ( SELECT Rating FROM ProductReview ORDER BY Rating ASC LIMIT 1 ) | [
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1,328 | video_games | bird:train.json:3371 | Give the name of the publisher of the game ID 75. | SELECT T2.publisher_name FROM game_publisher AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id WHERE T1.game_id = 75 | [
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1,329 | simpson_episodes | bird:train.json:4367 | In year 2009, what is the percentage of the episode titled by "Gone Maggie Gone" being nominated? | SELECT CAST((SUM(CASE WHEN T1.result = 'Nominee' THEN 1 ELSE 0 END) - SUM(CASE WHEN T1.result = 'Winner' THEN 1 ELSE 0 END)) AS REAL) * 100 / COUNT(T1.result) FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T2.title = 'Gone Maggie Gone' AND T1.year = 2009; | [
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1,330 | card_games | bird:dev.json:465 | For the set of cards with "Ancestor's Chosen" in it, is there a Korean version of it? | SELECT IIF(SUM(CASE WHEN T2.language = 'Korean' AND T2.translation IS NOT NULL THEN 1 ELSE 0 END) > 0, 'YES', 'NO') FROM cards AS T1 INNER JOIN set_translations AS T2 ON T2.setCode = T1.setCode WHERE T1.name = 'Ancestor''s Chosen' | [
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1,331 | sakila_1 | spider:train_spider.json:2943 | What are the countries that contain 3 or more cities? | SELECT T2.country FROM city AS T1 JOIN country AS T2 ON T1.country_id = T2.country_id GROUP BY T2.country_id HAVING count(*) >= 3 | [
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1,332 | products_for_hire | spider:train_spider.json:1969 | What are the first name, last name, and gender of all the good customers? Order by their last name. | SELECT first_name , last_name , gender_mf FROM customers WHERE good_or_bad_customer = 'good' ORDER BY last_name | [
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1,333 | codebase_comments | bird:train.json:610 | For the method which got the tokenized name as 'interp parser expr', what is the processed time for its solution? | SELECT T1.ProcessedTime FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T2.NameTokenized = 'interp parser expr' | [
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1,334 | csu_1 | spider:train_spider.json:2368 | How many degrees were conferred in "San Jose State University" in 2000? | SELECT degrees FROM campuses AS T1 JOIN degrees AS T2 ON t1.id = t2.campus WHERE t1.campus = "San Jose State University" AND t2.year = 2000 | [
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1,335 | college_2 | spider:train_spider.json:1434 | Find the name of instructors who are advisors of the students from the Math department, and sort the results by students' total credit. | SELECT T2.name FROM advisor AS T1 JOIN instructor AS T2 ON T1.i_id = T2.id JOIN student AS T3 ON T1.s_id = T3.id WHERE T3.dept_name = 'Math' ORDER BY T3.tot_cred | [
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1,336 | advertising_agencies | bird:test.json:2104 | What are all payment ids and payment details for invoices with status Working? | SELECT T1.payment_id , T1.payment_details FROM Payments AS T1 JOIN Invoices AS T2 ON T1.invoice_id = T2.invoice_id WHERE T2.invoice_status = 'Working' | [
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1,337 | address_1 | bird:test.json:825 | What is the average distance between Boston and all other cities. | SELECT avg(distance) FROM Direct_distance AS T1 JOIN City AS T2 ON T1.city1_code = T2.city_code WHERE T2.city_name = "Boston" | [
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1,338 | codebase_community | bird:dev.json:699 | When did the user known as 'IrishStat' create his or her account? | SELECT CreationDate FROM users WHERE DisplayName = 'IrishStat' | [
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1,339 | movie_3 | bird:train.json:9358 | Calculate the total rental rate for animation film titles. | SELECT SUM(T1.rental_rate) 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 T3.`name` = 'Animation' | [
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1,340 | wine_1 | spider:train_spider.json:6535 | Find the names of all distinct wines that have appellations in North Coast area. | SELECT DISTINCT T2.Name FROM APPELLATIONs AS T1 JOIN WINE AS T2 ON T1.Appelation = T2.Appelation WHERE T1.Area = "North Coast" | [
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1,342 | driving_school | spider:train_spider.json:6645 | In which country and state does Janessa Sawayn live? | SELECT T1.country , T1.state_province_county FROM Addresses AS T1 JOIN Staff AS T2 ON T1.address_id = T2.staff_address_id WHERE T2.first_name = "Janessa" AND T2.last_name = "Sawayn"; | [
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1,344 | video_games | bird:train.json:3448 | How many FIFA games are there across all platforms? | SELECT COUNT(*) FROM ( SELECT T.game_name FROM game AS T WHERE T.game_name LIKE '%FIFA%' ) | [
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1,345 | college_1 | spider:train_spider.json:3201 | What is the total credit does each department offer? | SELECT sum(crs_credit) , dept_code FROM course GROUP BY dept_code | [
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1,346 | legislator | bird:train.json:4800 | List the IDs and full names of legislators from the Liberal Republican party. | SELECT T2.bioguide_id, T2.first_name, T2.last_name FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.party = 'Liberal Republican' | [
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1,347 | game_1 | spider:train_spider.json:6010 | What is the total number of all football games played by scholarship students? | SELECT sum(gamesplayed) FROM Sportsinfo WHERE sportname = "Football" AND onscholarship = 'Y' | [
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1,348 | sports_competition | spider:train_spider.json:3379 | what are the name of players who get more than the average points. | SELECT name FROM player WHERE points > (SELECT avg(points) FROM player) | [
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1,349 | driving_school | spider:train_spider.json:6638 | What is the nickname of staff with first name as Janessa and last name as Sawayn? | SELECT nickname FROM Staff WHERE first_name = "Janessa" AND last_name = "Sawayn"; | [
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1,350 | cre_Docs_and_Epenses | spider:train_spider.json:6399 | Show the number of documents. | SELECT count(*) FROM Documents | [
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1,351 | scientist_1 | spider:train_spider.json:6510 | How many scientists do not have any projects assigned to them? | SELECT count(*) FROM scientists WHERE ssn NOT IN (SELECT scientist FROM AssignedTo) | [
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1,352 | card_games | bird:dev.json:357 | What type of promotion is of card 'Duress'? | SELECT promoTypes FROM cards WHERE name = 'Duress' AND promoTypes IS NOT NULL | [
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1,353 | flight_1 | spider:train_spider.json:429 | Show names for all employees who do not have certificate of Boeing 737-800. | SELECT name FROM Employee EXCEPT SELECT T1.name FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid JOIN Aircraft AS T3 ON T3.aid = T2.aid WHERE T3.name = "Boeing 737-800" | [
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1,354 | menu | bird:train.json:5483 | How many dishes are there on the menu "Zentral Theater Terrace"? | SELECT SUM(CASE WHEN T3.name = 'Zentral Theater Terrace' 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 | [
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1,355 | public_review_platform | bird:train.json:3944 | How many businesses have a romantic ambiance? | SELECT COUNT(T2.business_id) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value = 'true' AND T1.attribute_name = 'ambience_romantic' | [
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1,356 | art_1 | bird:test.json:1285 | What is the average height and width of paintings that are oil medium in gallery 241? | SELECT avg(height_mm) , avg(width_mm) FROM paintings WHERE medium = "oil" AND LOCATION = "Gallery 241" | [
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1,357 | simpson_episodes | bird:train.json:4308 | Write down the website address which stores the episode image of episode 5. | SELECT episode_image FROM Episode WHERE episode = 5; | [
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1,358 | professional_basketball | bird:train.json:2919 | Find the full name of the player born in Atlanta and have the highest number of blocks. Also, in which team did this player perform the most number of blocks? | SELECT T1.firstName, T1.lastName, T2.tmID FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID WHERE T1.birthCity = 'Atlanta' ORDER BY T2.blocks DESC LIMIT 1 | [
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1,359 | video_games | bird:train.json:3501 | List the platform ID of the game titled Airborne Troops: Countdown to D-Day. | SELECT T1.platform_id FROM game_platform AS T1 INNER JOIN game_publisher AS T2 ON T1.game_publisher_id = T2.id INNER JOIN game AS T3 ON T2.game_id = T3.id WHERE T3.game_name = 'Airborne Troops: Countdown to D-Day' | [
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1,360 | food_inspection | bird:train.json:8803 | What percentage of the violations for "Melody Lounge" are moderate risks? | SELECT CAST(SUM(CASE WHEN T2.risk_category = 'Moderate Risk' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.business_id) FROM businesses AS T1 INNER JOIN violations AS T2 ON T1.business_id = T2.business_id WHERE T1.name = 'Melody Lounge' | [
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1,361 | disney | bird:train.json:4660 | How many PG adventure movies did Ron Clements direct? | SELECT COUNT(*) FROM director AS T1 INNER JOIN movies_total_gross AS T2 ON T1.name = T2.movie_title WHERE T1.director = 'Ron Clements' AND T2.MPAA_rating = 'PG' AND T2.genre = 'Adventure' | [
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1,362 | inn_1 | spider:train_spider.json:2599 | How many people in total can stay in the modern rooms of this inn? | SELECT sum(maxOccupancy) FROM Rooms WHERE decor = 'modern'; | [
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1,363 | ship_1 | spider:train_spider.json:6240 | Find the captain rank that has no captain in Third-rate ship of the line class. | SELECT rank FROM captain EXCEPT SELECT rank FROM captain WHERE CLASS = 'Third-rate ship of the line' | [
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1,364 | bakery_1 | bird:test.json:1550 | Give the ids of Cookies or Cakes that cost between 3 and 7 dollars. | SELECT id FROM goods WHERE food = "Cookie" OR food = "Cake" AND price BETWEEN 3 AND 7 | [
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1,365 | superhero | bird:dev.json:829 | Which publisher created more superheroes: DC or Marvel Comics? Find the difference in the number of superheroes. | SELECT SUM(CASE WHEN T2.publisher_name = 'DC Comics' THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.publisher_name = 'Marvel Comics' THEN 1 ELSE 0 END) FROM superhero AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id | [
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1,366 | cre_Doc_Workflow | bird:test.json:2025 | Show the names and descriptions for all documents. | SELECT document_name , document_description FROM Documents | [
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1,367 | movies_4 | bird:train.json:448 | How many female crews are in the movie "Mr. Smith Goes to Washington"? | SELECT COUNT(T3.gender) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T2.gender_id = T3.gender_id WHERE T1.title = 'Mr. Smith Goes to Washington' AND T3.gender = 'Female' | [
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1,368 | formula_1 | bird:dev.json:1008 | During which lap did Lewis Hamilton take a pit stop during the 2011 Australian Grand Prix? | SELECT T1.lap FROM pitStops AS T1 INNER JOIN drivers AS T2 on T1.driverId = T2.driverId INNER JOIN races AS T3 on T1.raceId = T3.raceId WHERE T2.forename = 'Lewis' AND T2.surname = 'Hamilton' AND T3.year = 2011 AND T3.name = 'Australian Grand Prix' | [
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1,369 | chicago_crime | bird:train.json:8723 | What is the precise coordinate of the location where simple assault incidents happened the most in Chatham? | SELECT T2.latitude, T2.longitude FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no INNER JOIN Community_Area AS T3 ON T2.community_area_no = T3.community_area_no WHERE T1.title = 'Simple Assault' AND T3.community_area_name = 'Chatham' AND T3.community_area_no = 44 ORDER BY T2.latitude DESC, ... | [
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1,370 | ship_1 | spider:train_spider.json:6226 | Sort all captain names by their ages from old to young. | SELECT name FROM captain ORDER BY age DESC | [
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1,371 | movie_2 | bird:test.json:1825 | Find the name of the movie that is on in both Odeon and Imperial theaters. | SELECT T1.title FROM movies AS T1 JOIN movietheaters AS T2 ON T1.code = T2.movie WHERE T2.name = 'Odeon' INTERSECT SELECT T1.title FROM movies AS T1 JOIN movietheaters AS T2 ON T1.code = T2.movie WHERE T2.name = 'Imperial' | [
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1,372 | student_assessment | spider:train_spider.json:105 | List the id of students who registered course statistics in the order of registration date. | SELECT T2.student_id FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "statistics" ORDER BY T2.registration_date | [
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1,373 | menu | bird:train.json:5554 | What are the names of the dishes shown in the lower right corner of menu page 48706? | SELECT T2.name FROM MenuItem AS T1 INNER JOIN Dish AS T2 ON T2.id = T1.dish_id WHERE T1.xpos > 0.75 AND T1.ypos > 0.75 AND T1.menu_page_id = 48706 | [
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1,374 | music_2 | spider:train_spider.json:5194 | What is the label that has the most albums? | SELECT label FROM albums GROUP BY label ORDER BY count(*) DESC LIMIT 1 | [
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1,376 | books | bird:train.json:5992 | List all of the books that were published in 1995. | SELECT title FROM book WHERE STRFTIME('%Y', publication_date) = '1995' | [
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1,377 | manufactory_1 | spider:train_spider.json:5341 | What are the average prices of products, grouped by manufacturer code? | SELECT AVG(Price) , Manufacturer FROM Products GROUP BY Manufacturer | [
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1,378 | talkingdata | bird:train.json:1127 | Give the number of 30-year-old users who were active in the events on 2016/5/2. | SELECT COUNT(T3.device_id) FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id INNER JOIN gender_age AS T3 ON T2.device_id = T3.device_id WHERE SUBSTR(`timestamp`, 1, 10) = '2016-05-02' AND T1.is_active = 1 AND T3.age = '30' | [
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1,379 | ship_1 | spider:train_spider.json:6243 | Return the name of the youngest captain. | SELECT name FROM captain ORDER BY age LIMIT 1 | [
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1,380 | student_loan | bird:train.json:4407 | What is the longest students absence duration from school? | SELECT name, month FROM longest_absense_from_school WHERE `month` = ( SELECT MAX(month) FROM longest_absense_from_school ) | [
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1,381 | soccer_2016 | bird:train.json:1799 | What is the name of the player who won the "man of the match" award in the match on 2008/4/18? | SELECT T2.Player_Name FROM Match AS T1 INNER JOIN Player AS T2 ON T2.Player_Id = T1.Man_of_the_Match WHERE T1.Match_Date = '2008-04-18' | [
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1,382 | sales | bird:train.json:5468 | Name the product that sold the most quantity. | SELECT T2.Name FROM Sales AS T1 INNER JOIN Products AS T2 ON T1.ProductID = T2.ProductID ORDER BY T1.Quantity DESC LIMIT 1 | [
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1,383 | swimming | spider:train_spider.json:5620 | What is the name of the stadium which held the most events? | SELECT t1.name FROM stadium AS t1 JOIN event AS t2 ON t1.id = t2.stadium_id GROUP BY t2.stadium_id ORDER BY count(*) DESC LIMIT 1 | [
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1,384 | thrombosis_prediction | bird:dev.json:1177 | Was the total cholesterol status for the patient id 2927464 on 1995-9-4 at the normal level? | SELECT CASE WHEN `T-CHO` < 250 THEN 'Normal' ELSE 'Abnormal' END FROM Laboratory WHERE ID = 2927464 AND Date = '1995-09-04' | [
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1,385 | entrepreneur | spider:train_spider.json:2282 | Give the total money requested by entrepreneurs who are taller than 1.85. | SELECT sum(T1.Money_Requested) FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T2.Height > 1.85 | [
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1,386 | student_club | bird:dev.json:1353 | What's Christof Nielson's zip code type? | SELECT T2.type FROM member AS T1 INNER JOIN zip_code AS T2 ON T1.zip = T2.zip_code WHERE T1.first_name = 'Christof' AND T1.last_name = 'Nielson' | [
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1,387 | olympics | bird:train.json:5015 | Tell the host city of the 1968 Winter Olympic Games. | SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T3.games_name = '1968 Winter' | [
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1,388 | customers_and_addresses | spider:train_spider.json:6055 | Find the name of all customers. | SELECT customer_name FROM customers | [
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1,390 | video_games | bird:train.json:3441 | Which game has sold the fewest units? | SELECT T.game_name FROM ( SELECT T1.game_name FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN game_platform AS T3 ON T2.id = T3.game_publisher_id INNER JOIN region_sales AS T4 ON T3.id = T4.game_platform_id ORDER BY T4.num_sales LIMIT 1 ) t | [
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"id": 8,
"type": "column",
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},
{
"id": 5,
"type": "column",
"value": "game_platform_id"
},
{
"id": 7,
"type": "table",
"value": "game_publisher"
},
{
"id": 3,
"type": "table",
"value": "game_platform"
},
{
"id": 1,
... | [
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"O",
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] |
1,391 | movie_3 | bird:train.json:9192 | How many customers are from the city of Lethbridge? | SELECT COUNT(T3.customer_id) FROM city AS T1 INNER JOIN address AS T2 ON T1.city_id = T2.city_id INNER JOIN customer AS T3 ON T2.address_id = T3.address_id WHERE T1.city = 'Lethbridge' | [
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"id": 3,
"type": "column",
"value": "customer_id"
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{
"id": 2,
"type": "value",
"value": "Lethbridge"
},
{
"id": 6,
"type": "column",
"value": "address_id"
},
{
"id": 0,
"type": "table",
"value": "customer"
},
{
"id": 5,
"type": "table",
... | [
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"... | [
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] |
1,392 | assets_maintenance | spider:train_spider.json:3135 | How many assets can each parts be used in? List the part name and the number. | SELECT T1.part_name , count(*) FROM Parts AS T1 JOIN Asset_Parts AS T2 ON T1.part_id = T2.part_id GROUP BY T1.part_name | [
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] | [
{
"id": 2,
"type": "table",
"value": "asset_parts"
},
{
"id": 0,
"type": "column",
"value": "part_name"
},
{
"id": 3,
"type": "column",
"value": "part_id"
},
{
"id": 1,
"type": "table",
"value": "parts"
}
] | [
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},
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"entity_id": 4,
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{
"entit... | [
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"B-COLUMN",
"B-COLUMN",
"O",
"O",
"O",
"O"
] |
1,393 | storm_record | spider:train_spider.json:2702 | Show the average and maximum damage for all storms with max speed higher than 1000. | SELECT avg(damage_millions_USD) , max(damage_millions_USD) FROM storm WHERE max_speed > 1000 | [
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] | [
{
"id": 3,
"type": "column",
"value": "damage_millions_usd"
},
{
"id": 1,
"type": "column",
"value": "max_speed"
},
{
"id": 0,
"type": "table",
"value": "storm"
},
{
"id": 2,
"type": "value",
"value": "1000"
}
] | [
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},
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},
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},
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"entity_id": 4,
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},
{
"entity_i... | [
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"I-COLUMN",
"O",
"O",
"B-VALUE",
"O"
] |
1,394 | student_loan | bird:train.json:4384 | What is the average time for a disabled student to be absent from school? | SELECT AVG(T1.month) FROM longest_absense_from_school AS T1 INNER JOIN disabled AS T2 ON T1.`name` = T2.`name` | [
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"to",
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] | [
{
"id": 0,
"type": "table",
"value": "longest_absense_from_school"
},
{
"id": 1,
"type": "table",
"value": "disabled"
},
{
"id": 2,
"type": "column",
"value": "month"
},
{
"id": 3,
"type": "column",
"value": "name"
}
] | [
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"entity_id": 0,
"token_idxs": [
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},
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},
{
"entity_id": 4,
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},
{
"entity_id": ... | [
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"O",
"B-TABLE",
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"O",
"O",
"B-TABLE",
"I-TABLE",
"I-TABLE",
"O"
] |
1,395 | simpson_episodes | bird:train.json:4288 | What are the roles of the cast and crew from countries other than the USA? | SELECT T2.role FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.name = T2.person WHERE T1.birth_country != 'USA'; | [
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] | [
{
"id": 3,
"type": "column",
"value": "birth_country"
},
{
"id": 1,
"type": "table",
"value": "person"
},
{
"id": 2,
"type": "table",
"value": "credit"
},
{
"id": 6,
"type": "column",
"value": "person"
},
{
"id": 0,
"type": "column",
"value... | [
{
"entity_id": 0,
"token_idxs": [
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]
},
{
"entity_id": 1,
"token_idxs": []
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},
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"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
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},
{
"entity_id": 5,
... | [
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"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
1,396 | image_and_language | bird:train.json:7580 | How many images have a total of 10 attribute classes? | SELECT COUNT(IMG_ID) FROM IMG_OBJ WHERE OBJ_CLASS_ID = 10 | [
"How",
"many",
"images",
"have",
"a",
"total",
"of",
"10",
"attribute",
"classes",
"?"
] | [
{
"id": 1,
"type": "column",
"value": "obj_class_id"
},
{
"id": 0,
"type": "table",
"value": "img_obj"
},
{
"id": 3,
"type": "column",
"value": "img_id"
},
{
"id": 2,
"type": "value",
"value": "10"
}
] | [
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"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
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},
{
"entity_id": 2,
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7
]
},
{
"entity_id": 3,
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},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
... | [
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O"
] |
1,397 | movie_3 | bird:train.json:9362 | What is the title of the restricted film, whose length is 71 minutes and whose replacement cost is $29.99? | SELECT title FROM film WHERE replacement_cost = 29.99 AND rating = 'R' AND length = 71 | [
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"?"
] | [
{
"id": 2,
"type": "column",
"value": "replacement_cost"
},
{
"id": 4,
"type": "column",
"value": "rating"
},
{
"id": 6,
"type": "column",
"value": "length"
},
{
"id": 1,
"type": "column",
"value": "title"
},
{
"id": 3,
"type": "value",
"va... | [
{
"entity_id": 0,
"token_idxs": [
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]
},
{
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},
{
"entity_id": 2,
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17
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},
{
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20
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
... | [
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"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-VALUE",
"O"
] |
1,398 | chicago_crime | bird:train.json:8688 | In drug abuse crimes, what percentage is related to cannabis? | SELECT CAST(COUNT(CASE WHEN T1.secondary_description LIKE '%CANNABIS%' THEN T1.secondary_description END) AS REAL) * 100 / COUNT(T1.secondary_description) FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T2.iucr_no = T1.iucr_no INNER JOIN FBI_Code AS T3 ON T3.fbi_code_no = T2.fbi_code_no WHERE T3.title = 'Drug Abuse' | [
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",",
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"is",
"related",
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"?"
] | [
{
"id": 7,
"type": "column",
"value": "secondary_description"
},
{
"id": 5,
"type": "column",
"value": "fbi_code_no"
},
{
"id": 2,
"type": "value",
"value": "Drug Abuse"
},
{
"id": 9,
"type": "value",
"value": "%CANNABIS%"
},
{
"id": 0,
"type":... | [
{
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},
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},
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},
{
"entity_id": 4,
"token_idxs": [
3
]
},
{
"entity_id": 5,
"toke... | [
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"I-VALUE",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O",
"B-VALUE",
"O"
] |
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