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4,298 | store_product | spider:train_spider.json:4927 | What is the average number of pages per minute color? | SELECT avg(pages_per_minute_color) FROM product | [
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4,299 | public_review_platform | bird:train.json:3898 | How many active businesses are located at Phoenix, Arizona? | SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Phoenix' AND active LIKE 'True' | [
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4,300 | retails | bird:train.json:6744 | Among the customers in the furniture market segment, how many of them have a nation key of 1? | SELECT COUNT(c_custkey) FROM customer WHERE c_mktsegment = 'FURNITURE' AND c_nationkey = 1 | [
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4,301 | music_platform_2 | bird:train.json:7919 | What is the percentage of the podcast that are categorized in four or more categories? | SELECT COUNT(T1.podcast_id) FROM ( SELECT podcast_id FROM categories GROUP BY podcast_id HAVING COUNT(category) >= 4 ) AS T1 | [
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4,302 | food_inspection_2 | bird:train.json:6156 | What is the full name of the employee who gave the highest amount of fine of all time? | SELECT T.first_name, T.last_name FROM ( SELECT T1.first_name, T1.last_name, SUM(T3.fine) FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id GROUP BY T1.first_name, T1.last_name ORDER BY SUM(T3.fine) DESC LIMIT 1 ) t | [
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4,303 | video_games | bird:train.json:3312 | Please list the names of all the games published by 10TACLE Studios. | SELECT T1.game_name FROM game AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.game_id INNER JOIN publisher AS T3 ON T2.publisher_id = T3.id WHERE T3.publisher_name = '10TACLE Studios' | [
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4,305 | car_retails | bird:train.json:1596 | From which branch does the sales representative employee who made the most sales in 2005? Please indicates its full address and phone number. | SELECT T3.addressLine1, T3.addressLine2, T3.phone FROM orderdetails AS T1 INNER JOIN orders AS T2 ON T1.orderNumber = T2.orderNumber INNER JOIN customers AS T3 ON T2.customerNumber = T3.customerNumber INNER JOIN employees AS T4 ON T3.salesRepEmployeeNumber = T4.employeeNumber INNER JOIN offices AS T5 ON T4.officeCode =... | [
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4,306 | cre_Docs_and_Epenses | spider:train_spider.json:6393 | Show statement id, statement detail, account detail for accounts. | SELECT T1.statement_id , T2.statement_details , T1.account_details FROM Accounts AS T1 JOIN Statements AS T2 ON T1.statement_id = T2.statement_id | [
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4,307 | cre_Doc_Tracking_DB | spider:train_spider.json:4211 | What is the role with the smallest number of employees? Find the role codes. | SELECT role_code FROM Employees GROUP BY role_code ORDER BY count(*) ASC LIMIT 1 | [
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4,308 | cinema | spider:train_spider.json:1946 | What are the title and director of each film? | SELECT title , directed_by FROM film | [
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4,309 | movie_1 | spider:train_spider.json:2496 | Find the movies with the highest average rating. Return the movie titles and average rating. | SELECT T2.title , avg(T1.stars) FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID GROUP BY T1.mID ORDER BY avg(T1.stars) DESC LIMIT 1 | [
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4,310 | language_corpus | bird:train.json:5715 | State one biword pair with occurence of 4. | SELECT T1.word, T3.word FROM words AS T1 INNER JOIN biwords AS T2 ON T1.wid = T2.w1st INNER JOIN words AS T3 ON T3.wid = T2.w2nd WHERE T2.occurrences = 4 LIMIT 1 | [
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4,311 | restaurant | bird:train.json:1786 | List the full address of all the American restaurants with a review of 4 or more? | SELECT T1.street_num, T1.street_name, T1.city FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T2.review >= 4 | [
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4,312 | mondial_geo | bird:train.json:8351 | What is the name of the country whose citizens have the lowest purchasing power? | SELECT T2.Name FROM economy AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code ORDER BY T1.Inflation DESC LIMIT 1 | [
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4,313 | video_game | bird:test.json:1939 | What are the names and id of platforms whose download rank is 1? | SELECT Platform_name , Platform_ID FROM platform WHERE Download_rank = 1 | [
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4,314 | chinook_1 | spider:train_spider.json:874 | What are all the album titles, in alphabetical order? | SELECT Title FROM ALBUM ORDER BY Title | [
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4,316 | icfp_1 | spider:train_spider.json:2912 | Retrieve the title of the paper that has the largest number of authors. | SELECT t2.title FROM authorship AS t1 JOIN papers AS t2 ON t1.paperid = t2.paperid WHERE t1.authorder = (SELECT max(authorder) FROM authorship) | [
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4,317 | university | bird:train.json:8040 | Name the most famous university in Argentina. | SELECT T1.university_name FROM university AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.university_id INNER JOIN country AS T3 ON T3.id = T1.country_id WHERE T3.country_name = 'Argentina' GROUP BY T1.university_name ORDER BY SUM(T2.score) DESC LIMIT 1 | [
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4,318 | student_assessment | spider:train_spider.json:82 | For each course id, how many students are registered and what are the course names? | SELECT T3.course_name , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id JOIN courses AS T3 ON T2.course_id = T3.course_id GROUP BY T2.course_id | [
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4,319 | cs_semester | bird:train.json:883 | Provide the number of students enrolled in the "Statistical Learning" course. | SELECT COUNT(T2.student_id) FROM course AS T1 INNER JOIN registration AS T2 ON T1.course_id = T2.course_id WHERE T1.name = 'Statistical learning' | [
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4,320 | movies_4 | bird:train.json:543 | List the character names in the "Open Water" movie. | SELECT T2.character_name FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'Open Water' | [
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4,321 | store_1 | spider:train_spider.json:620 | How many milliseconds long is Fast As a Shark? | SELECT milliseconds FROM tracks WHERE name = "Fast As a Shark"; | [
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4,322 | olympics | bird:train.json:4919 | What is the NOC code of the region where the tallest male Olympic competitor is from? | SELECT T1.noc 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 T3.gender = 'M' ORDER BY T3.height DESC LIMIT 1 | [
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4,323 | headphone_store | bird:test.json:934 | Find the model, class, and construction of the headphone with the lowest price. | SELECT model , CLASS , construction FROM headphone ORDER BY price LIMIT 1 | [
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4,324 | soccer_2016 | bird:train.json:1977 | Which bowling skills did the players from Zimbabwea have? | SELECT T1.Bowling_skill FROM Bowling_Style AS T1 INNER JOIN Player AS T2 ON T1.Bowling_Id = T2.Bowling_skill INNER JOIN Country AS T3 ON T2.Country_Name = T3.Country_Id WHERE T3.Country_Name = 'Zimbabwea' | [
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4,326 | student_loan | bird:train.json:4457 | List all the disabled female students. | SELECT T1.name FROM disabled AS T1 INNER JOIN male AS T2 ON T1.name <> T2.name | [
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4,327 | cinema | spider:train_spider.json:1952 | Give me the title and highest price for each film. | SELECT T2.title , max(T1.price) FROM schedule AS T1 JOIN film AS T2 ON T1.film_id = T2.film_id GROUP BY T1.film_id | [
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4,328 | world_development_indicators | bird:train.json:2160 | Mention the series code of countries using pound sterling as their currency unit. Which country belongs to high income group among them. | SELECT DISTINCT T1.CountryCode, T1.CurrencyUnit, T1.IncomeGroup FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.CurrencyUnit = 'Pound sterling' AND T1.IncomeGroup LIKE '%high income%' | [
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4,329 | world | bird:train.json:7820 | List any five countries which use English as an official language. | SELECT T1.Name FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = 'English' AND T2.IsOfficial = 'T' LIMIT 5 | [
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{
"id": 5,
"type": "column",
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4,330 | computer_student | bird:train.json:990 | Is the teacher who teaches course no.9 a faculty member? | SELECT T2.hasPosition FROM taughtBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T1.course_id = 9 | [
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4,331 | film_rank | spider:train_spider.json:4130 | Please show the titles of films and the types of market estimations. | SELECT T1.Title , T2.Type FROM film AS T1 JOIN film_market_estimation AS T2 ON T1.Film_ID = T2.Film_ID | [
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4,332 | cre_Doc_and_collections | bird:test.json:721 | How many collections does each document belong to? List the count and the document id. | SELECT count(*) , T2.Document_Object_ID FROM Collections AS T1 JOIN Documents_in_Collections AS T2 ON T1.Collection_ID = T2.Collection_ID GROUP BY T2.Document_Object_ID | [
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4,334 | activity_1 | spider:train_spider.json:6800 | What are the first names of the faculty members playing both Canoeing and Kayaking? | SELECT T1.lname FROM Faculty AS T1 JOIN Faculty_participates_in AS T2 ON T1.facID = T2.facID JOIN activity AS T3 ON T2.actid = T2.actid WHERE T3.activity_name = 'Canoeing' INTERSECT SELECT T1.lname FROM Faculty AS T1 JOIN Faculty_participates_in AS T2 ON T1.facID = T2.facID JOIN activity AS T3 ON T2.actid = T... | [
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4,335 | cre_Drama_Workshop_Groups | spider:train_spider.json:5159 | Which cities have at least one customer but no performer? | SELECT T1.City_Town FROM Addresses AS T1 JOIN Customers AS T2 ON T1.Address_ID = T2.Address_ID EXCEPT SELECT T1.City_Town FROM Addresses AS T1 JOIN Performers AS T2 ON T1.Address_ID = T2.Address_ID | [
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4,336 | city_record | spider:train_spider.json:6301 | For each competition, count the number of matches. | SELECT count(*) , Competition FROM MATCH GROUP BY Competition | [
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4,337 | movies_4 | bird:train.json:510 | Tell the language of the movie "C'era una volta il West". | SELECT T3.language_name FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id INNER JOIN language AS T3 ON T2.language_id = T3.language_id WHERE T1.title LIKE 'C%era una volta il West' | [
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4,338 | loan_1 | spider:train_spider.json:3034 | Find the total account balance of each customer from Utah or Texas. | SELECT sum(acc_bal) FROM customer WHERE state = 'Utah' OR state = 'Texas' | [
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4,340 | sales_in_weather | bird:train.json:8194 | Among the stations with 3 stores, how many stations have a station pressure of no more than 30 on February 18, 2014? | SELECT COUNT(station_nbr) FROM weather WHERE `date` = '2014-02-18' AND stnpressure < 30 AND station_nbr IN ( SELECT station_nbr FROM relation GROUP BY station_nbr HAVING COUNT(store_nbr) = 3 ) | [
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4,341 | social_media | bird:train.json:839 | How many reshared tweets have over 100 likes? | SELECT COUNT(DISTINCT TweetID) FROM twitter WHERE IsReshare = 'TRUE' AND Likes > 100 | [
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4,343 | club_leader | bird:test.json:646 | What are the names and nationalities of the members? | SELECT Name , Nationality FROM member | [
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4,344 | epinions_1 | spider:train_spider.json:1698 | Find the names of users who did not leave any review. | SELECT name FROM useracct WHERE u_id NOT IN (SELECT u_id FROM review) | [
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4,346 | legislator | bird:train.json:4889 | What is the current official Instagram handle of current legislator Bob Corker? | SELECT T2.instagram FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Bob Corker' | [
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4,347 | boat_1 | bird:test.json:861 | Find the id of Sailors (sid) that reserved red or blue boat. | SELECT DISTINCT T2.sid FROM Boats AS T1 JOIN Reserves AS T2 ON T1.bid = T2.bid WHERE T1.color = 'red' OR T1.color = "blue" | [
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4,348 | movie | bird:train.json:762 | Among the actors born in New York City, list the genre of their movie with a rating greater than 5. | SELECT T1.Genre FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T3.`Birth City` = 'New York City' AND T1.Rating > 5 | [
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4,350 | voter_2 | spider:train_spider.json:5463 | Show the advisors of the students whose city of residence has city code "BAL". | SELECT Advisor FROM STUDENT WHERE city_code = "BAL" | [
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4,352 | sakila_1 | spider:train_spider.json:2950 | Which film has the most number of actors or actresses? List the film name, film id and description. | SELECT T2.title , T2.film_id , T2.description FROM film_actor AS T1 JOIN film AS T2 ON T1.film_id = T2.film_id GROUP BY T2.film_id ORDER BY count(*) DESC LIMIT 1 | [
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4,353 | works_cycles | bird:train.json:7076 | How many vacation hours do the male employees have on average? | SELECT CAST(SUM(T1.VacationHours) AS REAL) / COUNT(T1.BusinessEntityID) FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.Gender = 'M' AND T2.PersonType = 'EM' | [
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4,354 | talkingdata | bird:train.json:1142 | Please list the app IDs of all the users in the Securities category. | SELECT T2.app_id FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'Securities' | [
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4,355 | food_inspection_2 | bird:train.json:6189 | Calculate the percentage of inspections with verified quality. Among them, how many businesses were from Chicago? | SELECT CAST(COUNT(CASE WHEN T2.results LIKE '%Pass%' THEN T2.inspection_id END) AS REAL) * 100 / COUNT(T2.inspection_id), COUNT(DISTINCT T2.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.city = 'CHICAGO' | [
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4,356 | coffee_shop | spider:train_spider.json:804 | which shop has happy hour most frequently? List its id and number of happy hours. | SELECT shop_id , count(*) FROM happy_hour GROUP BY shop_id ORDER BY count(*) DESC LIMIT 1 | [
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4,357 | store_1 | spider:train_spider.json:555 | List every album whose title starts with A in alphabetical order. | SELECT title FROM albums WHERE title LIKE 'A%' ORDER BY title; | [
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4,358 | sales | bird:train.json:5461 | List the first name of all the customers whose last name is Chen. | SELECT FirstName, LastName FROM Customers WHERE LastName = 'Chen' | [
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4,359 | climbing | spider:train_spider.json:1119 | Count the number of different countries that climbers are from. | SELECT COUNT(DISTINCT Country) FROM climber | [
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4,360 | address | bird:train.json:5156 | List down the area code and country of the city named Savoy. | SELECT T1.area_code, T2.county FROM area_code AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code INNER JOIN zip_data AS T3 ON T1.zip_code = T3.zip_code WHERE T3.city = 'Savoy' | [
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4,361 | soccer_2016 | bird:train.json:1801 | What is the role of SC Ganguly in the match on 2008/4/18? | SELECT T2.Role_Id FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id INNER JOIN Match AS T4 ON T2.Match_Id = T4.Match_Id WHERE T1.Player_Name = 'SC Ganguly' AND T4.Match_Date = '2008-04-18' | [
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4,362 | legislator | bird:train.json:4756 | How many males were members of the current legislators? | SELECT COUNT(*) FROM current WHERE gender_bio = 'M' | [
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4,363 | music_4 | spider:train_spider.json:6199 | Please show the results of music festivals and the number of music festivals that have had each, ordered by this count. | SELECT RESULT , COUNT(*) FROM music_festival GROUP BY RESULT ORDER BY COUNT(*) DESC | [
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4,364 | bike_share_1 | bird:train.json:9014 | What is the maximum humidity in Powell Street BART when bike 496 was borrowed from the station on 8/29/2013? | SELECT T2.max_humidity FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T1.start_date LIKE '8/29/2013%' AND T1.bike_id = 496 AND T1.start_station_name = 'Powell Street BART' | [
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4,365 | thrombosis_prediction | bird:dev.json:1221 | Provide the ID, sex, birthday of all patients diagnosed with 'RA' that are within the UN normal index. | SELECT DISTINCT T1.ID, T1.SEX, T1.Birthday FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.UN < 30 AND T1.Diagnosis = 'RA' | [
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4,366 | movies_4 | bird:train.json:530 | List all the unspecified gender characters. | SELECT T1.character_name FROM movie_cast AS T1 INNER JOIN gender AS T2 ON T1.gender_id = T2.gender_id WHERE T2.gender = 'Unspecified' | [
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4,367 | soccer_2016 | bird:train.json:1919 | List all Zimbabwean players. | SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Country AS T2 ON T1.Country_Name = T2.Country_Id WHERE T2.Country_Name = 'Zimbabwea' | [
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4,368 | tracking_grants_for_research | spider:train_spider.json:4361 | What are the ids, types, and details of the organization with the most research staff? | SELECT T1.organisation_id , T1.organisation_type , T1.organisation_details FROM Organisations AS T1 JOIN Research_Staff AS T2 ON T1.organisation_id = T2.employer_organisation_id GROUP BY T1.organisation_id ORDER BY count(*) DESC LIMIT 1 | [
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4,369 | vehicle_driver | bird:test.json:189 | What are the name and citizenship of the drivers who have driven the vehicle model 'DJ1'? | SELECT T1.name , T1.citizenship FROM driver AS T1 JOIN vehicle_driver AS T2 ON T1.driver_id = T2.driver_id JOIN vehicle AS T3 ON T2.vehicle_id = T3.vehicle_id WHERE T3.model = 'DJ1' | [
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4,370 | race_track | spider:train_spider.json:774 | Give the names of tracks that do not have a race in the class 'GT'. | SELECT name FROM track EXCEPT SELECT T2.name FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id WHERE T1.class = 'GT' | [
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4,372 | soccer_2016 | bird:train.json:1949 | Which year do the majority of the players were born? | SELECT DOB FROM Player GROUP BY DOB ORDER BY COUNT(DOB) DESC LIMIT 1 | [
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4,373 | district_spokesman | bird:test.json:1196 | Find the names of districts which have more than one spokesman. | SELECT t1.name FROM district AS t1 JOIN spokesman_district AS t2 ON t1.District_ID = t2.District_ID GROUP BY t2.District_ID HAVING count(*) > 1 | [
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4,375 | book_1 | bird:test.json:525 | How many clients are there? | SELECT count(*) FROM Client | [
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] | [
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"id": 0,
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4,376 | activity_1 | spider:train_spider.json:6794 | Find the name of the activity that has the largest number of student participants. | SELECT T1.activity_name FROM Activity AS T1 JOIN Participates_in AS T2 ON T1.actID = T2.actID GROUP BY T1.actID ORDER BY count(*) DESC LIMIT 1 | [
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4,377 | book_press | bird:test.json:1983 | how many authors are under age 30? | SELECT count(*) FROM author WHERE age < 30 | [
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"?"
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"id": 0,
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4,378 | music_2 | spider:train_spider.json:5238 | Who performed the song named "Le Pop"? | SELECT T2.firstname , T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId WHERE T3.Title = "Le Pop" | [
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4,379 | planet_1 | bird:test.json:1873 | Count the number of packages sent by Ogden Wernstrom and received by Leo Wong. | SELECT T1.PackageNumber FROM PACKAGE AS T1 JOIN Client AS T2 ON T1.Sender = T2.AccountNumber WHERE T2.Name = "Ogden Wernstrom" INTERSECT SELECT T1.PackageNumber FROM PACKAGE AS T1 JOIN Client AS T2 ON T1.Recipient = T2.AccountNumber WHERE T2.Name = "Leo Wong" | [
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4,380 | pilot_1 | bird:test.json:1119 | What is the name of the least popular plane? | SELECT plane_name FROM pilotskills GROUP BY plane_name ORDER BY count(*) LIMIT 1 | [
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4,381 | retail_world | bird:train.json:6341 | Tell the name of the shipper company for the order No.10585. | SELECT T2.CompanyName FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T1.OrderID = 10585 | [
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4,382 | codebase_community | bird:dev.json:616 | What is the comment's rating score of the post which was created on 7/19/2010 7:19:56 PM | SELECT T1.Score FROM comments AS T1 INNER JOIN posts AS T2 ON T1.PostId = T2.Id WHERE T1.CreationDate = '2010-07-19 19:19:56.0' | [
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4,383 | college_2 | spider:train_spider.json:1475 | List the distinct names of the instructors, ordered by name. | SELECT DISTINCT name FROM instructor ORDER BY name | [
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4,384 | formula_1 | bird:dev.json:853 | Please give the names of the races held on the circuits in Spain. | SELECT DISTINCT T2.name FROM circuits AS T1 INNER JOIN races AS T2 ON T2.circuitID = T1.circuitId WHERE T1.country = 'Spain' | [
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4,385 | world | bird:train.json:7894 | What is the year of independence of Brunei? | SELECT IndepYear FROM Country WHERE Name = 'Brunei' | [
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"id": 1,
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4,387 | match_season | spider:train_spider.json:1087 | Count the number of different colleges that players who play for Columbus Crew are from. | SELECT count(DISTINCT T1.College) FROM match_season AS T1 JOIN team AS T2 ON T1.Team = T2.Team_id WHERE T2.Name = "Columbus Crew" | [
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4,388 | retails | bird:train.json:6679 | Please list the order keys of all the orders made by a customer whose account is in debt. | SELECT T1.o_orderkey FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey WHERE T2.c_acctbal < 0 | [
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4,389 | e_government | spider:train_spider.json:6309 | What are the first, middle, and last names of all individuals, ordered by last name? | SELECT individual_first_name , individual_middle_name , individual_last_name FROM individuals ORDER BY individual_last_name | [
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4,390 | sing_contest | bird:test.json:751 | What are the id and name of the participants who received score 5 for their sound quality or rhythm tempo? | SELECT T1.id , T1.name FROM participants AS T1 JOIN performance_score AS T2 ON T2.participant_id = T1.id WHERE T2.voice_sound_quality = 5 OR T2.rhythm_tempo = 5 | [
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4,391 | talkingdata | bird:train.json:1183 | How many active users are there in the event? | SELECT COUNT(app_id) FROM app_events WHERE is_active = 1 | [
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4,392 | shakespeare | bird:train.json:3060 | In Shakespeare's works before 1600, list down the title of the tragic story he had written that involved a character named "Tybalt". | SELECT DISTINCT T1.title FROM works AS T1 INNER JOIN chapters AS T2 ON T1.id = T2.work_id INNER JOIN paragraphs AS T3 ON T2.id = T3.chapter_id INNER JOIN characters AS T4 ON T3.character_id = T4.id WHERE T1.DATE < 1600 AND T1.GenreType = 'Tragedy' AND T4.CharName = 'Tybalt' | [
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4,393 | public_review_platform | bird:train.json:3859 | How many Yelp_Business under the category of "Food" are good for kids? | SELECT COUNT(T3.stars) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Business_Attributes AS T4 ON T3.business_id = T4.business_id INNER JOIN Attributes AS T5 ON T4.attribute_id = T5.attribute_id WHERE... | [
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4,394 | college_2 | spider:train_spider.json:1328 | Find the room number of the rooms which can sit 50 to 100 students and their buildings. | SELECT building , room_number FROM classroom WHERE capacity BETWEEN 50 AND 100 | [
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4,395 | movie_3 | bird:train.json:9231 | Among films with store ID of 2, list the title of films with the highest rental rate. | SELECT T1.title FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id WHERE T2.store_id = 2 ORDER BY rental_rate DESC LIMIT 1 | [
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4,396 | retail_complains | bird:train.json:288 | Calculate the difference in the average age of elderly and middle-aged clients in the Northeast region. | SELECT (CAST(SUM(CASE WHEN T1.age BETWEEN 35 AND 55 THEN T1.age ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age BETWEEN 35 AND 55 THEN 1 ELSE 0 END)) - (CAST(SUM(CASE WHEN T1.age > 65 THEN T1.age ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END)) AS difference FROM client AS T1 INNER JOIN district AS T2 O... | [
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4,397 | codebase_comments | bird:train.json:582 | What is the linearized sequenced of API calls of the method whose solution path is "mauriciodeamorim_tdd.encontro2\Tdd.Encontro2.sln"? | SELECT T2.ApiCalls FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T1.Path = 'mauriciodeamorim_tdd.encontro2Tdd.Encontro2.sln' | [
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4,398 | disney | bird:train.json:4687 | Provide the titles, main characters, and associated songs of the movies directed by Wolfgang Reitherman in 1977. | SELECT T1.movie_title, T2.hero, T2.song FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title INNER JOIN director AS T3 ON T1.movie_title = T3.name WHERE T3.director = 'Wolfgang Reitherman' AND SUBSTR(T1.release_date, LENGTH(T1.release_date) - 3, LENGTH(T1.release_date)) = '1977' | [
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4,399 | donor | bird:train.json:3270 | How many resources with a unit price less than 15 are not technology type? List them by vendor id | SELECT vendorid FROM resources WHERE project_resource_type = 'Technology' AND item_unit_price <= 15 | [
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4,400 | works_cycles | bird:train.json:7035 | Who is the company's highest-paid single female employee? Include her full name and job title. | SELECT T3.FirstName, T3.MiddleName, T3.LastName, T1.JobTitle FROM Employee AS T1 INNER JOIN EmployeePayHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Person AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID WHERE T1.MaritalStatus = 'S' AND T1.Gender = 'F' ORDER BY T2.Rate DESC LIMIT 1 | [
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"id": 9,
"type": "column",
"value": "maritalstatus"
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{
"id": 1,
"type": "column",
"value": "middlename"
},
{
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"... | [
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4,401 | bike_share_1 | bird:train.json:9051 | Please list trips id started on the hottest day. | SELECT T1.id FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code ORDER BY T2.max_temperature_f DESC LIMIT 1 | [
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{
"id": 2,
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{
"id": 1,
"type": "table",
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"... | [
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4,402 | public_review_platform | bird:train.json:3879 | How many of the busineses are in Casa Grande? | SELECT COUNT(city) FROM Business WHERE city LIKE 'Casa Grande' | [
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"type": "column",
"value": "city"
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] | [
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4,403 | cre_Docs_and_Epenses | spider:train_spider.json:6412 | How many documents correspond with each project id? | SELECT project_id , count(*) FROM Documents GROUP BY project_id | [
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"many",
"documents",
"correspond",
"with",
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"project",
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"d",
"?"
] | [
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"id": 1,
"type": "column",
"value": "project_id"
},
{
"id": 0,
"type": "table",
"value": "documents"
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] | [
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4,404 | world_development_indicators | bird:train.json:2180 | Name the country with fastest growth in adjusted net national income in 1980 and state the currency used by this country. | SELECT T2.countryname, T1.CurrencyUnit FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.IndicatorName = 'Adjusted net national income (annual % growth)' AND T2.Year = 1980 AND T1.CurrencyUnit != '' ORDER BY T2.Value DESC LIMIT 1 | [
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] | [
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"value": "Adjusted net national income (annual % growth)"
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"value": "indicatorname"
},
{
"id": 1,
"type": "column",
"value": "currencyunit"
},
{
"id": 0,
"type": "column",
"value": "countryname"
... | [
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4,405 | art_1 | bird:test.json:1266 | What are the names of both paintings and sculptures created between 1900 and 1950? | SELECT title FROM paintings WHERE YEAR BETWEEN 1900 AND 1950 UNION SELECT title FROM sculptures WHERE YEAR BETWEEN 1900 AND 1950 | [
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] | [
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"value": "title"
},
{
"id": 3,
"type": "column",
"value": "year"
},
{
"id": 4,
"type": "value",
"value": "... | [
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] |
4,406 | hockey | bird:train.json:7623 | Name all goalies with 10 or more empty net goals. Name the players and season where he played. | SELECT T1.firstName, T1.lastName , T2.year FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE T2.ENG >= 10 | [
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"goalies",
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] | [
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"type": "column",
"value": "playerid"
},
{
"id": 4,
"type": "table",
"value": "goalies"
},
{
"id": 3,
"type": "table",
"valu... | [
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"O",
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] |
4,407 | tracking_share_transactions | spider:train_spider.json:5851 | Show all dates of transactions whose type code is "SALE". | SELECT date_of_transaction FROM TRANSACTIONS WHERE transaction_type_code = "SALE" | [
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"all",
"dates",
"of",
"transactions",
"whose",
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"code",
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] | [
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"id": 2,
"type": "column",
"value": "transaction_type_code"
},
{
"id": 1,
"type": "column",
"value": "date_of_transaction"
},
{
"id": 0,
"type": "table",
"value": "transactions"
},
{
"id": 3,
"type": "column",
"value": "SALE"
}
] | [
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"B-COLUMN",
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"O"
] |
4,408 | customers_card_transactions | spider:train_spider.json:725 | Show all card type codes and the number of customers holding cards in each type. | SELECT card_type_code , count(DISTINCT customer_id) FROM Customers_cards GROUP BY card_type_code | [
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"all",
"card",
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"codes",
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"."
] | [
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"id": 0,
"type": "table",
"value": "customers_cards"
},
{
"id": 1,
"type": "column",
"value": "card_type_code"
},
{
"id": 2,
"type": "column",
"value": "customer_id"
}
] | [
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"O",
"O",
"O",
"O",
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] |
4,409 | phone_1 | spider:train_spider.json:1047 | Count the number of chip model that do not have wifi. | SELECT count(*) FROM chip_model WHERE wifi = 'No' | [
"Count",
"the",
"number",
"of",
"chip",
"model",
"that",
"do",
"not",
"have",
"wifi",
"."
] | [
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"id": 0,
"type": "table",
"value": "chip_model"
},
{
"id": 1,
"type": "column",
"value": "wifi"
},
{
"id": 2,
"type": "value",
"value": "No"
}
] | [
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},
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},
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},
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"entity_id"... | [
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] |
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