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15,205 | california_schools | bird:dev.json:82 | What is the grade span offered in the school with the highest longitude? | SELECT GSoffered FROM schools ORDER BY ABS(longitude) DESC LIMIT 1 | [
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15,206 | european_football_2 | bird:dev.json:1107 | When was the first time did Kevin Constant have his highest crossing score? Give the date. | SELECT `date` FROM ( SELECT t2.crossing, t2.`date` FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_fifa_api_id = t2.player_fifa_api_id WHERE t1.player_name = 'Kevin Constant' ORDER BY t2.crossing DESC) ORDER BY date DESC LIMIT 1 | [
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15,207 | book_1 | bird:test.json:558 | What are the names of clients who have never made an order? | SELECT name FROM Client EXCEPT SELECT T1.name FROM Client AS T1 JOIN Orders AS T2 ON T1.idClient = T2.idClient | [
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15,208 | scientist_1 | spider:train_spider.json:6487 | Find the total hours of the projects that scientists named Michael Rogers or Carol Smith are assigned to. | SELECT sum(T2.hours) FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T3.name = 'Michael Rogers' OR T3.name = 'Carol Smith' | [
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15,209 | behavior_monitoring | spider:train_spider.json:3098 | Find the maximum and minimum monthly rental for all student addresses. | SELECT max(monthly_rental) , min(monthly_rental) FROM Student_Addresses | [
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15,210 | game_1 | spider:train_spider.json:6022 | What are the ids of all students who don't play sports? | SELECT StuID FROM Student EXCEPT SELECT StuID FROM Sportsinfo | [
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15,211 | image_and_language | bird:train.json:7577 | Based on image 5, what is the percentage of images that belong windows object class? | SELECT CAST(COUNT(T1.OBJ_SAMPLE_ID) AS REAL) * 100 / COUNT(CASE WHEN T1.IMG_ID = 5 THEN 1 ELSE 0 END) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'windows' | [
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15,212 | movie_platform | bird:train.json:77 | Among the users who are trailists when rating the movie "When Will I Be Loved", how many of them have rated "1" on the movie? | SELECT COUNT(T1.user_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'When Will I Be Loved' AND T1.rating_score = 1 AND T1.user_trialist = 1 | [
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15,213 | company_office | spider:train_spider.json:4562 | For each company, return the company name and the name of the building its office is located in. | SELECT T3.name , T2.name FROM Office_locations AS T1 JOIN buildings AS T2 ON T1.building_id = T2.id JOIN Companies AS T3 ON T1.company_id = T3.id | [
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15,214 | bike_share_1 | bird:train.json:9064 | Please list the starting stations of the bike trips made on a day with a max humidity over 80 in 2013 in the area where the zip code is 94107. | SELECT DISTINCT T1.start_station_name FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE SUBSTR(CAST(T2.date AS TEXT), -4) = '2013' AND T2.zip_code = 94107 AND T2.max_temperature_f > 80 | [
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15,215 | university | bird:train.json:8007 | What is the university ID of the university with the largest student staff ratio? | SELECT university_id FROM university_year ORDER BY student_staff_ratio DESC LIMIT 1 | [
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15,216 | books | bird:train.json:5951 | How many orders were delivered in 2021? | SELECT COUNT(*) FROM order_status AS T1 INNER JOIN order_history AS T2 ON T1.status_id = T2.status_id WHERE T1.status_value = 'Delivered' AND STRFTIME('%Y', T2.status_date) = '2021' | [
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15,217 | bike_1 | spider:train_spider.json:195 | Find all the zip codes in which the max dew point have never reached 70. | SELECT DISTINCT zip_code FROM weather EXCEPT SELECT DISTINCT zip_code FROM weather WHERE max_dew_point_f >= 70 | [
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15,218 | video_games | bird:train.json:3391 | Mention the genre of the 2Xtreme. | SELECT T2.id FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T1.game_name = '2Xtreme' | [
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15,220 | aan_1 | bird:test.json:982 | What are the titles and paper ids for papers which were affiliated with both Stanford and Columbia University? | SELECT T1.title , T1.paper_id FROM Paper AS T1 JOIN Author_list AS T2 ON T1.paper_id = T2.paper_id JOIN Affiliation AS T3 ON T2.affiliation_id = T3.affiliation_id WHERE T3.name LIKE "Stanford University" INTERSECT SELECT T1.title , T1.paper_id FROM Paper AS T1 JOIN Author_list AS T2 ON T1.paper_id = T2.paper_id... | [
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15,223 | beer_factory | bird:train.json:5256 | Which city does the customer who finished transaction no.103545 live in? | SELECT T1.City FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.TransactionID = 103545 | [
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15,224 | authors | bird:train.json:3530 | In year 1999, list the titles and conference's short name of paper authored by someone named "Philip". | SELECT T1.Title, T3.ShortName FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId INNER JOIN Conference AS T3 ON T1.ConferenceId = T3.Id WHERE T1.Year = 1999 AND T2.Name LIKE 'Philip%' | [
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15,225 | software_company | bird:train.json:8567 | List the level of education and income of customers ages from 30 to 55 with a true response. | SELECT T1.EDUCATIONNUM, T3.INCOME_K FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID INNER JOIN Demog AS T3 ON T1.GEOID = T3.GEOID WHERE T1.age >= 30 AND T1.age <= 55 AND T2.RESPONSE = 'true' | [
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15,227 | real_estate_rentals | bird:test.json:1442 | List the first name, middle name and last name, and log in name of all the seller users, whose seller value is 1. | SELECT first_name , middle_name , last_name , login_name FROM Users WHERE is_seller = 1; | [
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15,228 | book_publishing_company | bird:train.json:235 | Find the difference between the average royalty of titles published by US and non US publishers? | SELECT (CAST(SUM(CASE WHEN T2.country = 'USA' THEN T1.royalty ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.country = 'USA' THEN 1 ELSE 0 END)) - (CAST(SUM(CASE WHEN T2.country != 'USA' THEN T1.royalty ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.country != 'USA' THEN 1 ELSE 0 END)) FROM titles AS T1 INNER JOIN publishers AS T2 O... | [
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15,229 | apartment_rentals | spider:train_spider.json:1257 | What are the top three apartment types in terms of the average room count? Give me the | SELECT apt_type_code FROM Apartments GROUP BY apt_type_code ORDER BY avg(room_count) DESC LIMIT 3 | [
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15,230 | soccer_3 | bird:test.json:26 | Please show the most common manufacturer of clubs. | SELECT Manufacturer FROM club GROUP BY Manufacturer ORDER BY COUNT(*) DESC LIMIT 1 | [
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15,231 | music_platform_2 | bird:train.json:7984 | Please list the titles of the podcasts for which the author whose ID is F7E5A318989779D has written a review. | SELECT T2.title FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T2.author_id = 'F7E5A318989779D' | [
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15,232 | movie_3 | bird:train.json:9310 | Who is the manager of the store with the largest collection of films? | SELECT T.first_name, T.last_name FROM ( SELECT T3.first_name, T3.last_name, COUNT(T1.film_id) AS num FROM inventory AS T1 INNER JOIN store AS T2 ON T1.store_id = T2.store_id INNER JOIN staff AS T3 ON T2.manager_staff_id = T3.staff_id GROUP BY T3.first_name, T3.last_name ) AS T ORDER BY T.num DESC LIMIT 1 | [
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15,233 | video_games | bird:train.json:3490 | What is the name of the company that produced the game titled Adventure Time: Explore the Dungeon Because I Don't Know!? | SELECT T3.publisher_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 T1.game_name = 'Adventure Time: Explore the Dungeon Because I Don''t Know!' | [
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15,234 | college_1 | spider:train_spider.json:3269 | What is the name of department where has the smallest number of professors? | SELECT T2.dept_name FROM professor AS T1 JOIN department AS T2 ON T1.dept_code = T2.dept_code GROUP BY T1.dept_code ORDER BY count(*) LIMIT 1 | [
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15,236 | art_1 | bird:test.json:1246 | What are the average height of paintings for different medium types? | SELECT avg(height_mm) , medium FROM paintings GROUP BY medium | [
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15,237 | real_estate_rentals | bird:test.json:1468 | List the last names and ids of users who have at least 2 properties and searched at most twice. | SELECT T1.last_name , T1.user_id FROM Users AS T1 JOIN User_Searches AS T2 ON T1.user_id = T2.user_id GROUP BY T1.user_id HAVING count(*) <= 2 INTERSECT SELECT T3.last_name , T3.user_id FROM Users AS T3 JOIN Properties AS T4 ON T3.user_id = T4.owner_user_id GROUP BY T3.user_id HAVING count(*) >= 2; | [
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15,238 | european_football_2 | bird:dev.json:1140 | What are Alexis Blin's sprint speed, agility, and acceleration scores? | SELECT sprint_speed, agility, acceleration FROM Player_Attributes WHERE player_api_id IN ( SELECT player_api_id FROM Player WHERE player_name = 'Alexis Blin' ) | [
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15,239 | law_episode | bird:train.json:1342 | What is the episode that has mafia keyword? | SELECT T1.episode FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T2.Keyword = 'mafia' | [
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15,240 | software_company | bird:train.json:8512 | Please list the occupations of the customers with an education level of 11. | SELECT DISTINCT OCCUPATION FROM Customers WHERE EDUCATIONNUM = 11 | [
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15,241 | car_retails | bird:train.json:1619 | If Dragon Souveniers, Ltd. aren't satisfied with their order and want to send a complain e-mail, which e-mail address should they send to? | SELECT t2.email FROM customers AS t1 INNER JOIN employees AS t2 ON t1.salesRepEmployeeNumber = t2.employeeNumber WHERE t1.customerName = 'Dragon Souveniers, Ltd.' | [
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15,242 | beer_factory | bird:train.json:5287 | Among the root beer purchased in 2014, what percentage were sold in cans? | SELECT CAST(COUNT(CASE WHEN ContainerType = 'Can' THEN RootBeerID ELSE NULL END) AS REAL) * 100 / COUNT(RootBeerID) FROM rootbeer WHERE PurchaseDate LIKE '2014%' | [
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15,243 | cre_Students_Information_Systems | bird:test.json:482 | What are the pairs of teachers and students who are in the same class? Give me the pairs of their details. | SELECT T1.teacher_details , T3.student_details FROM Teachers AS T1 JOIN Classes AS T2 ON T1.teacher_id = T2.teacher_id JOIN Students AS T3 ON T2.student_id = T3.student_id | [
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15,244 | works_cycles | bird:train.json:7041 | Which job title has the lowest pay? | SELECT T1.JobTitle FROM Employee AS T1 INNER JOIN EmployeePayHistory AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID ORDER BY T2.Rate ASC LIMIT 1 | [
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15,245 | world_development_indicators | bird:train.json:2219 | What is the name of the country with the highest percentage of rural population in the overall total population? Indicate the rural population percentage of total population. | SELECT countryname, MAX(value) FROM indicators WHERE indicatorname = 'Rural population (% of total population)' | [
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15,246 | card_games | bird:dev.json:437 | Among black card borders, which card has full artwork? | SELECT id FROM cards WHERE borderColor = 'black' AND isFullArt = 1 | [
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15,247 | dorm_1 | spider:train_spider.json:5682 | Find the total capacity of all dorms. | SELECT sum(student_capacity) FROM dorm | [
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15,248 | bakery_1 | bird:test.json:1545 | Find all receipts which has the latest date. Also tell me that date. | SELECT ReceiptNumber , date FROM receipts WHERE date = (SELECT date FROM receipts ORDER BY date DESC LIMIT 1) | [
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15,249 | gas_company | spider:train_spider.json:2015 | How many gas station are opened between 2000 and 2005? | SELECT count(*) FROM gas_station WHERE open_year BETWEEN 2000 AND 2005 | [
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15,251 | cre_Students_Information_Systems | bird:test.json:448 | List the amount and date of loan for the students who have two or more achievements. | SELECT amount_of_loan , date_of_loan FROM Student_Loans WHERE student_id IN ( SELECT student_id FROM Achievements GROUP BY student_id HAVING count(*) >= 2 ) | [
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15,252 | ice_hockey_draft | bird:train.json:6988 | What team did Niklas Eckerblom play in the 1997-1998 season? | SELECT T2.TEAM FROM PlayerInfo AS T1 INNER JOIN SeasonStatus AS T2 ON T1.ELITEID = T2.ELITEID WHERE T2.SEASON = '1997-1998' AND T1.PlayerName = 'Niko Kapanen' | [
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15,253 | soccer_2016 | bird:train.json:1917 | In what year did SP Narine win the Orange Cap? | SELECT T4.Season_Year, T4.Orange_Cap FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Match AS T3 ON T2.Match_Id = T3.Match_Id INNER JOIN Season AS T4 ON T3.Season_Id = T4.Season_Id WHERE T1.Player_Name = 'SP Narine' GROUP BY T4.Season_Year, T4.Orange_Cap | [
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15,254 | soccer_2016 | bird:train.json:1828 | In which country do the majority of the players are from? | SELECT T1.Country_Name FROM Country AS T1 INNER JOIN Player AS T2 ON T1.Country_Id = T2.Country_Name GROUP BY T2.Country_Name ORDER BY COUNT(T2.Country_Name) DESC LIMIT 1 | [
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15,255 | toxicology | bird:dev.json:337 | List the element and bond type included in the molecule with molecule ID of TR002. | SELECT DISTINCT T1.element, T2.bond_type FROM atom AS T1 INNER JOIN bond AS T2 ON T1.molecule_id = T2.molecule_id WHERE T1.molecule_id = 'TR002' | [
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15,256 | wedding | spider:train_spider.json:1645 | How many weddings are there in year 2016? | SELECT count(*) FROM wedding WHERE YEAR = 2016 | [
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15,257 | phone_market | spider:train_spider.json:1979 | List the names of phones in ascending order of price. | SELECT Name FROM phone ORDER BY Price ASC | [
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15,258 | food_inspection_2 | bird:train.json:6233 | How many restaurants failed the inspection in April 2010? | SELECT COUNT(DISTINCT T1.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE strftime('%Y-%m', T2.inspection_date) = '2010-04' AND T1.facility_type = 'Restaurant' AND T2.results = 'Fail' | [
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15,259 | bakery_1 | bird:test.json:1513 | Find all the receipt numbers in which customer with last name LOGAN purchased Croissant. | SELECT T1.ReceiptNumber FROM receipts AS T1 JOIN items AS T2 ON T1.ReceiptNumber = T2.receipt JOIN goods AS T3 ON T2.item = T3.id JOIN customers AS T4 ON T4.Id = T1.CustomerId WHERE T3.food = "Croissant" AND T4.LastName = 'LOGAN' | [
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15,260 | coinmarketcap | bird:train.json:6283 | What is the name of the coin with the highest price? | SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.price = ( SELECT MAX(price) FROM historical ) | [
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15,261 | simpson_episodes | bird:train.json:4208 | What is the birth place of the cast or crew member who won the Best Voice-Over Performance in Online Film & Television Association in 2009? | SELECT T1.birth_place FROM Person AS T1 INNER JOIN Award AS T2 ON T1.name = T2.person WHERE T2.award = 'Best Voice-Over Performance' AND T2.organization = 'Online Film & Television Association' AND T2.year = 2009; | [
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15,262 | wrestler | spider:train_spider.json:1857 | Give the names of wrestlers and their elimination moves. | SELECT T2.Name , T1.Elimination_Move FROM elimination AS T1 JOIN wrestler AS T2 ON T1.Wrestler_ID = T2.Wrestler_ID | [
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15,263 | railway | spider:train_spider.json:5646 | Show different locations of railways along with the corresponding number of railways at each location. | SELECT LOCATION , COUNT(*) FROM railway GROUP BY LOCATION | [
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15,264 | movie_3 | bird:train.json:9333 | Which movie title has the lowest movie rental in the horror category? | SELECT T1.title 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` = 'Horror' ORDER BY T1.rental_rate LIMIT 1 | [
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15,266 | election | spider:train_spider.json:2784 | Show the 3 counties with the smallest population. | SELECT County_name FROM county ORDER BY Population ASC LIMIT 3 | [
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15,267 | network_2 | spider:train_spider.json:4423 | How old is the average person for each job? | SELECT avg(age) , job FROM Person GROUP BY job | [
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15,268 | election | spider:train_spider.json:2741 | What are the maximum and minimum population of the counties? | SELECT max(Population) , min(Population) FROM county | [
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15,269 | debit_card_specializing | bird:dev.json:1526 | For the customer who paid 634.8 in 2012/8/25, what was the consumption decrease rate from Year 2012 to 2013? | SELECT CAST(SUM(IIF(SUBSTR(Date, 1, 4) = '2012', Consumption, 0)) - SUM(IIF(SUBSTR(Date, 1, 4) = '2013', Consumption, 0)) AS FLOAT) / SUM(IIF(SUBSTR(Date, 1, 4) = '2012', Consumption, 0)) FROM yearmonth WHERE CustomerID = ( SELECT T1.CustomerID FROM transactions_1k AS T1 INNER JOIN gasstations AS T2 ON T1.GasStationID ... | [
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15,270 | social_media | bird:train.json:846 | From which city was the tweet with the most number of retweets posted? | SELECT T2.City FROM twitter AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID ORDER BY T1.RetweetCount DESC LIMIT 1 | [
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15,271 | menu | bird:train.json:5560 | Among the menus with over 10 pages, how many of them have over 20 dishes? | SELECT COUNT(*) FROM Menu WHERE page_count > 10 AND dish_count > 20 | [
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15,272 | entrepreneur | spider:train_spider.json:2272 | Return the names of people, ordered by weight ascending. | SELECT Name FROM People ORDER BY Weight ASC | [
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15,273 | sports_competition | spider:train_spider.json:3347 | What are the maximum and minimum number of silver medals for clubs. | SELECT max(Silver) , min(Silver) FROM club_rank | [
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15,274 | aan_1 | bird:test.json:973 | List names and addresses for all affiliations. | SELECT DISTINCT name , address FROM Affiliation | [
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15,275 | sakila_1 | spider:train_spider.json:2955 | What are the full names of actors who had roles in more than 30 films? | SELECT T2.first_name , T2.last_name FROM film_actor AS T1 JOIN actor AS T2 ON T1.actor_id = T2.actor_id GROUP BY T2.actor_id HAVING count(*) > 30 | [
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15,276 | movie_platform | bird:train.json:117 | Give the number of followers for the user who posted the most lists. | SELECT SUM(T1.list_followers) FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.list_id = T2.list_id GROUP BY T1.user_id ORDER BY COUNT(T1.list_id) DESC LIMIT 1 | [
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15,277 | food_inspection | bird:train.json:8837 | List the names and business certificates of the eateries which got inspection score under 50. | SELECT T2.name, T2.business_id FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.score < 50 | [
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15,278 | loan_1 | spider:train_spider.json:3081 | What is the total amount of money loaned by banks in New York state? | SELECT sum(T2.amount) FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id WHERE T1.state = 'New York' | [
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15,279 | chicago_crime | bird:train.json:8659 | How many crimes are commited on January 1, 2018? | SELECT COUNT(*) FROM Crime WHERE date LIKE '1/1/2018%' | [
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15,280 | shop_membership | spider:train_spider.json:5427 | What are the names and cities of the branches that do not have any registered members? | SELECT name , city FROM branch WHERE branch_id NOT IN (SELECT branch_id FROM membership_register_branch) | [
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15,281 | beer_factory | bird:train.json:5342 | What is the amount difference between the bottles of root beer sold from Louisiana and Missouri? | SELECT ( SELECT COUNT(T1.BrandID) FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID WHERE T2.State = 'LA' AND T1.ContainerType = 'Bottle' ) - ( SELECT COUNT(T3.BrandID) FROM rootbeer AS T3 INNER JOIN rootbeerbrand AS T4 ON T3.BrandID = T4.BrandID WHERE T4.State = 'MO' AND T3.ContainerType = ... | [
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15,282 | movie_3 | bird:train.json:9111 | What is the email address of the staff Jon Stephens? | SELECT email FROM staff WHERE first_name = 'Jon' AND last_name = 'Stephens' | [
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15,283 | student_club | bird:dev.json:1359 | How many times was the budget in Advertisement for "Yearly Kickoff" meeting more than "October Meeting"? | SELECT CAST(SUM(CASE WHEN T2.event_name = 'Yearly Kickoff' THEN T1.amount ELSE 0 END) AS REAL) / SUM(CASE WHEN T2.event_name = 'October Meeting' THEN T1.amount ELSE 0 END) FROM budget AS T1 INNER JOIN event AS T2 ON T1.link_to_event = T2.event_id WHERE T1.category = 'Advertisement' AND T2.type = 'Meeting' | [
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15,284 | simpson_episodes | bird:train.json:4324 | Write down all the keywords for winner of "WGA Award (TV)" award. | SELECT T2.keyword FROM Award AS T1 INNER JOIN Keyword AS T2 ON T2.episode_id = T1.episode_id WHERE T1.award_category = 'WGA Award (TV)'; | [
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15,285 | scientist_1 | spider:train_spider.json:6485 | Find the name of the project for which a scientist whose name contains ‘Smith’ is assigned to. | SELECT T2.name FROM assignedto AS T1 JOIN projects AS T2 ON T1.project = T2.code JOIN scientists AS T3 ON T1.scientist = T3.SSN WHERE T3.name LIKE '%Smith%' | [
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15,286 | regional_sales | bird:train.json:2590 | List down the customer IDs and names that start with alphabet "W". | SELECT DISTINCT CustomerID, `Customer Names` FROM Customers WHERE `Customer Names` LIKE 'W%' ORDER BY `Customer Names` DESC | [
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15,288 | sakila_1 | spider:train_spider.json:2956 | Which store owns most items? | SELECT store_id FROM inventory GROUP BY store_id ORDER BY count(*) DESC LIMIT 1 | [
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15,289 | thrombosis_prediction | bird:dev.json:1161 | For in-patient age 50 and above, what is their average anti-cardiolipin antibody (IgG) concentration? | SELECT AVG(T2.`aCL IgG`) FROM Patient AS T1 INNER JOIN Examination AS T2 ON T1.ID = T2.ID WHERE STRFTIME('%Y', CURRENT_TIMESTAMP) - STRFTIME('%Y', T1.Birthday) >= 50 AND T1.Admission = '+' | [
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15,291 | retails | bird:train.json:6767 | How many customers who are not in debt ordered an urgent order? | SELECT COUNT(T2.c_custkey) FROM orders AS T1 INNER JOIN customer AS T2 ON T1.o_custkey = T2.c_custkey WHERE T2.c_acctbal > 0 AND T1.o_orderpriority = '1-URGENT' | [
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"id": 6,
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15,292 | shipping | bird:train.json:5622 | Where was shipment no. 1002 headed? | SELECT T2.city_name FROM shipment AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id WHERE T1.ship_id = '1002' | [
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15,293 | car_retails | bird:train.json:1605 | What is the full address of the office where 4 people work and one of them is Sales Representation? | SELECT T1.addressLine1, T1.addressLine2 FROM customers AS T1 INNER JOIN employees AS T2 ON T1.salesRepEmployeeNumber = T2.employeeNumber WHERE T2.jobTitle = 'Sales Rep' | [
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15,294 | vehicle_driver | bird:test.json:155 | How many vehicles has a driver driven at most, and what is the driver id of the driver who has driven this many vehicles? | SELECT count(*) , driver_id FROM vehicle_driver GROUP BY driver_id ORDER BY count(*) DESC LIMIT 1 | [
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15,295 | bakery_1 | bird:test.json:1520 | Count the number of goods for each food type. | SELECT count(*) , food FROM goods GROUP BY food | [
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15,296 | public_review_platform | bird:train.json:3812 | How many active businesses are there in Phoenix? | SELECT COUNT(business_id) FROM Business WHERE city LIKE 'Phoenix' AND active LIKE 'TRUE' | [
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15,297 | college_1 | spider:train_spider.json:3315 | Find the first names and offices of all instructors who have taught some course and the course description and the department name. | SELECT T2.emp_fname , T4.prof_office , T3.crs_description , T5.dept_name FROM CLASS AS T1 JOIN employee AS T2 ON T1.prof_num = T2.emp_num JOIN course AS T3 ON T1.crs_code = T3.crs_code JOIN professor AS T4 ON T2.emp_num = T4.emp_num JOIN department AS T5 ON T4.dept_code = T5.dept_code | [
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15,298 | city_record | spider:train_spider.json:6298 | Please give me a list of cities whose regional population is over 8000000 or under 5000000. | SELECT city FROM city WHERE regional_population > 10000000 UNION SELECT city FROM city WHERE regional_population < 5000000 | [
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15,299 | european_football_2 | bird:dev.json:1126 | State the name of players who came from Belgium. | SELECT t3.player_name FROM Country AS t1 INNER JOIN Match AS t2 ON t1.id = t2.country_id INNER JOIN Player AS t3 ON t2.home_player_1 = t3.player_api_id WHERE t1.name = 'Belgium' | [
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15,300 | superhero | bird:dev.json:739 | What are the names of the superheroes with the power of death touch? | SELECT T1.superhero_name FROM superhero AS T1 INNER JOIN hero_power AS T2 ON T1.id = T2.hero_id INNER JOIN superpower AS T3 ON T2.power_id = T3.id WHERE T3.power_name = 'Death Touch' | [
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15,301 | restaurant | bird:train.json:1761 | Among all indian restaurants in Castro St., Mountainview, how many of them is about cookhouse in their label? | SELECT COUNT(T1.id_restaurant) FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T1.street_name = 'castro st' AND T1.city = 'mountain view' AND T2.food_type = 'indian' AND T2.label LIKE '%cookhouse%' | [
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15,302 | department_store | spider:train_spider.json:4717 | What are the staff ids and genders of all staffs whose job title is Department Manager? | SELECT T1.staff_id , T1.staff_gender FROM staff AS T1 JOIN staff_department_assignments AS T2 ON T1.staff_id = T2.staff_id WHERE T2.job_title_code = "Department Manager" | [
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"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
15,303 | pilot_1 | bird:test.json:1161 | Find the max age for each group of pilots with the same name. | SELECT max(age) , pilot_name FROM pilotskills GROUP BY pilot_name | [
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] | [
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"id": 0,
"type": "table",
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{
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},
{
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"type": "column",
"value": "age"
}
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"O",
"O",
"O",
"O"
] |
15,304 | shooting | bird:train.json:2472 | From the cases where the subject were deceased, list the subject's last name, gender, race and case number. | SELECT T2.last_name, T2.gender, T2.race, T2.case_number FROM incidents AS T1 INNER JOIN subjects AS T2 ON T1.case_number = T2.case_number WHERE T1.subject_statuses = 'Deceased' | [
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},
{
"id": 0,
"type": "column",
"value": "last_name"
},
{
"id": 4,
"type": "table",
"value": "incidents"
},
{
"id": 5,
"type": "tabl... | [
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"O",
"B-COLUMN",
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"O"
] |
15,305 | soccer_2 | spider:train_spider.json:4951 | How many different players trained for more than 1000 hours? | SELECT count(*) FROM Player WHERE HS > 1000 | [
"How",
"many",
"different",
"players",
"trained",
"for",
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"1000",
"hours",
"?"
] | [
{
"id": 0,
"type": "table",
"value": "player"
},
{
"id": 2,
"type": "value",
"value": "1000"
},
{
"id": 1,
"type": "column",
"value": "hs"
}
] | [
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},
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"token_idxs": ... | [
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"O",
"O",
"O",
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"O"
] |
15,306 | retails | bird:train.json:6738 | List the suppliers' names which supplied smoke red pale saddle plum. | SELECT T3.s_name FROM part AS T1 INNER JOIN partsupp AS T2 ON T1.p_partkey = T2.ps_partkey INNER JOIN supplier AS T3 ON T2.ps_suppkey = T3.s_suppkey WHERE T1.p_name = 'smoke red pale saddle plum' | [
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"'",
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"."
] | [
{
"id": 3,
"type": "value",
"value": "smoke red pale saddle plum"
},
{
"id": 6,
"type": "column",
"value": "ps_suppkey"
},
{
"id": 9,
"type": "column",
"value": "ps_partkey"
},
{
"id": 7,
"type": "column",
"value": "s_suppkey"
},
{
"id": 8,
"ty... | [
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"entity_id": 0,
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"I-VALUE",
"I-VALUE",
"I-VALUE",
"O"
] |
15,307 | department_store | spider:train_spider.json:4766 | Return the phone numbers for all customers and suppliers. | SELECT customer_phone FROM customers UNION SELECT supplier_phone FROM suppliers | [
"Return",
"the",
"phone",
"numbers",
"for",
"all",
"customers",
"and",
"suppliers",
"."
] | [
{
"id": 2,
"type": "column",
"value": "customer_phone"
},
{
"id": 3,
"type": "column",
"value": "supplier_phone"
},
{
"id": 0,
"type": "table",
"value": "customers"
},
{
"id": 1,
"type": "table",
"value": "suppliers"
}
] | [
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},
{
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"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": ... | [
"O",
"O",
"O",
"O",
"O",
"O",
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"O",
"B-TABLE",
"O"
] |
15,308 | apartment_rentals | spider:train_spider.json:1237 | Which guests have apartment bookings with status code "Confirmed"? Return their first names and last names. | SELECT T2.guest_first_name , T2.guest_last_name FROM Apartment_Bookings AS T1 JOIN Guests AS T2 ON T1.guest_id = T2.guest_id WHERE T1.booking_status_code = "Confirmed" | [
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"names",
"."
] | [
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"id": 4,
"type": "column",
"value": "booking_status_code"
},
{
"id": 2,
"type": "table",
"value": "apartment_bookings"
},
{
"id": 0,
"type": "column",
"value": "guest_first_name"
},
{
"id": 1,
"type": "column",
"value": "guest_last_name"
},
{
"id... | [
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]
},
{
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},
{
"entity_id": 4,
"token_... | [
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"O",
"B-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
15,309 | music_platform_2 | bird:train.json:7943 | How many total reviews runned at in June 2022 were added to the podcasts? | SELECT SUM(reviews_added) FROM runs WHERE run_at LIKE '2022-06-%' | [
"How",
"many",
"total",
"reviews",
"runned",
"at",
"in",
"June",
"2022",
"were",
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"podcasts",
"?"
] | [
{
"id": 3,
"type": "column",
"value": "reviews_added"
},
{
"id": 2,
"type": "value",
"value": "2022-06-%"
},
{
"id": 1,
"type": "column",
"value": "run_at"
},
{
"id": 0,
"type": "table",
"value": "runs"
}
] | [
{
"entity_id": 0,
"token_idxs": [
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},
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},
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},
{
"entity_id": 3,
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},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_... | [
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"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O"
] |
15,310 | cinema | spider:train_spider.json:1948 | Who are all the directors? | SELECT DISTINCT directed_by FROM film | [
"Who",
"are",
"all",
"the",
"directors",
"?"
] | [
{
"id": 1,
"type": "column",
"value": "directed_by"
},
{
"id": 0,
"type": "table",
"value": "film"
}
] | [
{
"entity_id": 0,
"token_idxs": []
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},
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},
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},
{
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},
{
"entity_id": 5,
"token_idxs": []
},
{
... | [
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
15,311 | hr_1 | spider:train_spider.json:3407 | List the full name (first and last name), and salary for those employees who earn below 6000. | SELECT first_name , last_name , salary FROM employees WHERE salary < 6000 | [
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"the",
"full",
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] | [
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"id": 1,
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"value": "first_name"
},
{
"id": 0,
"type": "table",
"value": "employees"
},
{
"id": 2,
"type": "column",
"value": "last_name"
},
{
"id": 3,
"type": "column",
"value": "salary"
},
{
"id": 4,
"type": "value",
"va... | [
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},
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},
{
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... | [
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"O",
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"O",
"B-VALUE",
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] |
15,312 | retail_world | bird:train.json:6371 | What is the name of the supplier that supplies the most products to the company? | SELECT T1.SupplierID FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID GROUP BY T1.SupplierID ORDER BY COUNT(*) DESC LIMIT 1 | [
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"?"
] | [
{
"id": 0,
"type": "column",
"value": "supplierid"
},
{
"id": 2,
"type": "table",
"value": "suppliers"
},
{
"id": 1,
"type": "table",
"value": "products"
}
] | [
{
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},
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},
{
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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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"B-TABLE",
"O",
"O",
"O",
"O"
] |
15,313 | customers_and_products_contacts | spider:train_spider.json:5654 | Show all distinct cities in the address record. | SELECT DISTINCT city FROM addresses | [
"Show",
"all",
"distinct",
"cities",
"in",
"the",
"address",
"record",
"."
] | [
{
"id": 0,
"type": "table",
"value": "addresses"
},
{
"id": 1,
"type": "column",
"value": "city"
}
] | [
{
"entity_id": 0,
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},
{
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},
{
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},
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},
{
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"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": ... | [
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O"
] |
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