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10,910 | flight_4 | spider:train_spider.json:6846 | How many airlines operate out of each country in descending order? | SELECT country , count(*) FROM airlines GROUP BY country ORDER BY count(*) DESC | [
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10,911 | formula_1 | bird:dev.json:920 | Please list all the years that Silverstone Circuit was used in a Formula_1 race. | SELECT DISTINCT T2.year FROM circuits AS T1 INNER JOIN races AS T2 ON T2.circuitID = T1.circuitId WHERE T1.name = 'Silverstone Circuit' | [
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10,912 | music_platform_2 | bird:train.json:7940 | How many reviews does 'LifeAfter/The Message' have which were rated below 3? | SELECT COUNT(T2.rating) FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'LifeAfter/The Message' AND T2.rating <= 3 | [
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10,913 | codebase_comments | bird:train.json:609 | What is the solution path for the method "IQ.Data.DbQueryProvider.CanBeEvaluatedLocally"? | SELECT T1.Path FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T2.Name = 'IQ.Data.DbQueryProvider.CanBeEvaluatedLocally' | [
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10,914 | disney | bird:train.json:4651 | How many restricted horror movies were released between 1/1/1990 to 12/31/2015? | SELECT COUNT(movie_title) FROM movies_total_gross WHERE MPAA_rating = 'R' AND genre = 'Horror' AND CAST(SUBSTR(release_date, INSTR(release_date, ', ') + 1) AS int) BETWEEN 1990 AND 2015 | [
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10,915 | cre_Students_Information_Systems | bird:test.json:481 | List the details for all the pairs of teachers and students who are in the same class. | 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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10,916 | club_leader | bird:test.json:657 | List the names of members that are not club leaders. | SELECT Name FROM member WHERE Member_ID NOT IN (SELECT Member_ID FROM club_leader) | [
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10,917 | cookbook | bird:train.json:8872 | How many recipes include the ingredient "graham cracker crumbs"? | SELECT COUNT(*) FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T1.ingredient_id = T2.ingredient_id WHERE T1.name = 'graham cracker crumbs' | [
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10,918 | aan_1 | bird:test.json:1018 | Which venues and years did Mckeown , Kathleen have papers ? | select distinct t1.venue , t1.year from paper as t1 join author_list as t2 on t1.paper_id = t2.paper_id join author as t3 on t2.author_id = t3.author_id where t3.name = "mckeown , kathleen" | [
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10,919 | advertising_agencies | bird:test.json:2085 | Show ids, status codes, and details for all invoices for clients. | SELECT invoice_id , invoice_status , invoice_details FROM Invoices | [
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10,920 | books | bird:train.json:5919 | What is the name of the publisher of the book with the most pages? | SELECT T2.publisher_name FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id ORDER BY T1.num_pages DESC LIMIT 1 | [
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10,921 | real_estate_rentals | bird:test.json:1432 | What are the users making only one search? List both category and user id. | SELECT T1.user_category_code , 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(*) = 1; | [
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10,922 | loan_1 | spider:train_spider.json:3060 | Find the total amount of loans offered by each bank branch. | SELECT sum(amount) , T1.bname FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id GROUP BY T1.bname | [
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10,923 | superstore | bird:train.json:2364 | Which order of Logitech G600 MMO Gaming Mouse has the highest total cost? | SELECT T1.`Order ID` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'Logitech G600 MMO Gaming Mouse' GROUP BY T1.`Order ID` ORDER BY SUM((T1.Sales / (1 - T1.Discount)) * T1.Quantity - T1.Profit) DESC LIMIT 1 | [
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10,924 | allergy_1 | spider:train_spider.json:443 | Show all allergy types. | SELECT DISTINCT allergytype FROM Allergy_type | [
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10,925 | hockey | bird:train.json:7766 | How many coaches of the Montreal Canadiens have gotten in the Hall of Fame? | SELECT COUNT(DISTINCT hofID) FROM Coaches AS T1 INNER JOIN Teams AS T2 ON T1.year = T2.year AND T1.tmID = T2.tmID INNER JOIN Master AS T3 ON T1.coachID = T3.coachID WHERE T2.name = 'Montreal Canadiens' | [
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10,928 | movie_3 | bird:train.json:9103 | What is the description of the film ACADEMY DINOSAUR? | SELECT description FROM film WHERE title = 'ACADEMY DINOSAUR' | [
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10,929 | thrombosis_prediction | bird:dev.json:1207 | List all patients with their sex and date of birthday, whose AST glutamic oxaloacetic transaminase (GOT) index is within normal range for loboratory examination in 1994. | SELECT DISTINCT T1.SEX, T1.Birthday FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.GOT < 60 AND STRFTIME('%Y', T2.Date) = '1994' | [
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10,930 | pilot_1 | bird:test.json:1142 | Return the names and ages of pilors who have flown Piper Cub and are older than 35, or have flown the F-14 Fighter and are younger than 30. | SELECT pilot_name , age FROM pilotskills WHERE plane_name = 'Piper Cub' AND age > 35 UNION SELECT pilot_name , age FROM pilotskills WHERE plane_name = 'F-14 Fighter' AND age < 30 | [
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10,931 | public_review_platform | bird:train.json:3789 | How many types of music does Yelp business No."1141" have? | SELECT COUNT(T1.attribute_name) FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T2.attribute_value LIKE 'TRUE' AND T2.business_id = 1141 | [
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10,932 | city_record | spider:train_spider.json:6269 | Find the city that hosted some events in the most recent year. What is the id of this city? | SELECT host_city FROM hosting_city ORDER BY YEAR DESC LIMIT 1 | [
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10,933 | phone_1 | spider:train_spider.json:1044 | Find the accreditation level that more than 3 phones use. | SELECT Accreditation_level FROM phone GROUP BY Accreditation_level HAVING count(*) > 3 | [
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10,934 | shipping | bird:train.json:5581 | How many shipments were ordered by a customer in Florida? | SELECT COUNT(T1.cust_id) FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE T1.state = 'FL' | [
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10,935 | club_1 | spider:train_spider.json:4307 | Which clubs have one or more members from the city with code "HOU"? Give me the names of the clubs. | SELECT DISTINCT t1.clubname FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t3.city_code = "HOU" | [
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10,936 | flight_1 | spider:train_spider.json:405 | Show all destinations and the number of flights to each destination. | SELECT destination , count(*) FROM Flight GROUP BY destination | [
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10,938 | olympics | bird:train.json:5060 | Calculate the percentage of bronze medals won by men's basketball players. | SELECT CAST(COUNT(CASE WHEN T4.medal_name = 'Bronze' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.person_id) FROM competitor_event AS T1 INNER JOIN games_competitor AS T2 ON T1.competitor_id = T2.id INNER JOIN event AS T3 ON T1.event_id = T3.id INNER JOIN medal AS T4 ON T1.medal_id = T4.id WHERE T3.event_name LIKE '... | [
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10,939 | financial | bird:dev.json:187 | How many clients who choose statement of weekly issuance are Owner? | SELECT COUNT(T2.account_id) FROM account AS T1 INNER JOIN disp AS T2 ON T2.account_id = T1.account_id WHERE T1.frequency = 'POPLATEK TYDNE' AND T2.type = 'OWNER' | [
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10,940 | simpson_episodes | bird:train.json:4218 | Write down the award ID, award name and winner for character named "Homer simpson 20". | SELECT T1.award_id, T1.award, T1.person FROM Award AS T1 INNER JOIN Character_Award AS T2 ON T1.award_id = T2.award_id WHERE T2.character = 'Homer Simpson' AND T1.result = 'Winner'; | [
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10,941 | university | bird:train.json:8044 | How many students at the university earned a score of 90 in 2011? | SELECT COUNT(*) FROM university_year AS T1 INNER JOIN university_ranking_year AS T2 ON T1.university_id = T2.university_id WHERE T2.score = 90 AND T1.year = 2011 | [
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10,943 | codebase_comments | bird:train.json:662 | How many solutions are there whose respositories received the number of stars more than one third of the number of forks? | SELECT COUNT(DISTINCT T1.Id) FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T1.Stars > CAST(T1.Forks AS REAL) / 3 | [
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10,944 | mondial_geo | bird:train.json:8386 | Among all the rivers finally flows to the sea of 540m in depth, which one has the longest length? | SELECT T2.Name FROM sea AS T1 INNER JOIN river AS T2 ON T2.Sea = T1.Name WHERE T1.Depth = 540 ORDER BY T2.Length DESC LIMIT 1 | [
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10,945 | baseball_1 | spider:train_spider.json:3667 | How many times did Boston Red Stockings lose in 2009 postseason? | SELECT count(*) FROM postseason AS T1 JOIN team AS T2 ON T1.team_id_loser = T2.team_id_br WHERE T2.name = 'Boston Red Stockings' AND T1.year = 2009; | [
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10,946 | dorm_1 | spider:train_spider.json:5673 | How many girl students who are younger than 25? | SELECT count(*) FROM student WHERE sex = 'F' AND age < 25 | [
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10,947 | college_2 | spider:train_spider.json:1473 | What are the names of all instructors with names that include "dar"? | SELECT name FROM instructor WHERE name LIKE '%dar%' | [
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10,948 | college_2 | spider:train_spider.json:1489 | What are the names of instructors who earn more than at least one instructor from the Biology department? | SELECT name FROM instructor WHERE salary > (SELECT min(salary) FROM instructor WHERE dept_name = 'Biology') | [
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10,949 | book_2 | spider:train_spider.json:218 | What are the dates of publications in descending order of price? | SELECT Publication_Date FROM publication ORDER BY Price DESC | [
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10,950 | movie_3 | bird:train.json:9311 | What are the addresses of the inactive customers? | SELECT T2.address FROM customer AS T1 INNER JOIN address AS T2 ON T1.address_id = T2.address_id WHERE T1.active = 0 | [
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10,951 | european_football_1 | bird:train.json:2776 | Give the full name of the divison that had the most 0-0 games. | SELECT T2.name FROM matchs AS T1 INNER JOIN divisions AS T2 ON T1.Div = T2.division WHERE T1.FTAG = 0 AND T1.FTHG = 0 GROUP BY T2.division ORDER BY COUNT(T1.FTAG) DESC LIMIT 1 | [
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10,952 | student_loan | bird:train.json:4535 | Mention the status of payment of student 299. | SELECT bool FROM no_payment_due WHERE name = 'student299' | [
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10,953 | storm_record | spider:train_spider.json:2705 | Return the total number of deaths and total damange in millions for storms that had a max speed greater than the average. | SELECT sum(number_deaths) , sum(damage_millions_USD) FROM storm WHERE max_speed > (SELECT avg(max_speed) FROM storm) | [
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10,954 | swimming | spider:train_spider.json:5630 | Find all details for each swimmer. | SELECT * FROM swimmer | [
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10,955 | country_language | bird:test.json:1365 | What are the names of the countries, ordered descending by overall score? | SELECT name FROM countries ORDER BY overall_score DESC | [
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10,956 | advertising_agencies | bird:test.json:2098 | What are the invoice status, invoice details, and corresponding client ids and details and agency id and details? | SELECT T1.invoice_status , T1.invoice_details , T2.client_id , T2.client_details , T3.agency_id , T3.agency_details FROM Invoices AS T1 JOIN Clients AS T2 ON T1.client_id = T2.client_id JOIN Agencies AS T3 ON T2.agency_id = T3.agency_id | [
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10,957 | works_cycles | bird:train.json:7189 | How many of the non-sales employees are married? | SELECT COUNT(T1.BusinessEntityID) FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.PersonType = 'EM' AND T1.MaritalStatus = 'M' | [
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10,959 | region_building | bird:test.json:340 | For each building, return the address of the building and the name of the region it belongs to. | SELECT T1.Address , T2.Capital FROM building AS T1 JOIN region AS T2 ON T1.Region_ID = T2.Region_ID | [
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10,961 | menu | bird:train.json:5573 | For how many times had the dish "Chicken gumbo" appeared on a menu page? | SELECT SUM(CASE WHEN T1.name = 'Chicken gumbo' THEN 1 ELSE 0 END) FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id | [
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10,962 | food_inspection_2 | bird:train.json:6135 | Show the phone number of the sanitarian who was responsible for inspection no.634597. | SELECT T2.phone FROM inspection AS T1 INNER JOIN employee AS T2 ON T1.employee_id = T2.employee_id WHERE T1.inspection_id = 634597 AND T2.title = 'Sanitarian' | [
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10,963 | movie_1 | spider:train_spider.json:2499 | What are the titles and average ratings for all movies that have the lowest 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) LIMIT 1 | [
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10,964 | student_loan | bird:train.json:4427 | Give the number of students who have payment due. | SELECT COUNT(name) FROM no_payment_due WHERE bool = 'pos' | [
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10,965 | european_football_2 | bird:dev.json:1125 | Among the players with finishing rate of 1, pick the eldest player and state the player's name. | SELECT DISTINCT t1.player_name FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE t2.finishing = 1 ORDER BY t1.birthday ASC LIMIT 1 | [
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10,966 | beer_factory | bird:train.json:5247 | What is the number of the credit card that Frank-Paul Santangelo used to purchase root beers on 2014/7/7? | SELECT DISTINCT T2.CreditCardNumber FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.First = 'Frank-Paul' AND T1.Last = 'Santangelo' AND T2.TransactionDate = '2014-07-07' | [
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10,967 | workshop_paper | spider:train_spider.json:5840 | Show the date and venue of each workshop in ascending alphabetical order of the venue. | SELECT Date , Venue FROM workshop ORDER BY Venue | [
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10,968 | public_review_platform | bird:train.json:3981 | Under the category name of "Coffee & Tea", mention any 5 business ID , their state and city. | SELECT T2.business_id, T3.state, T3.city 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 WHERE T1.category_name = 'Coffee & Tea' LIMIT 5 | [
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10,969 | card_games | bird:dev.json:515 | When was the oldest mythic card released and what are its legal play formats? | SELECT T1.originalReleaseDate, T2.format FROM cards AS T1 INNER JOIN legalities AS T2 ON T1.uuid = T2.uuid WHERE T1.rarity = 'mythic' AND T1.originalReleaseDate IS NOT NULL AND T2.status = 'Legal' ORDER BY T1.originalReleaseDate LIMIT 1 | [
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10,970 | world | bird:train.json:7825 | How many cities are there in the country with the largest surface area? | SELECT T2.ID FROM Country AS T1 INNER JOIN City AS T2 ON T1.Code = T2.CountryCode WHERE T1.SurfaceArea = ( SELECT MAX(SurfaceArea) FROM Country ) | [
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10,971 | college_1 | spider:train_spider.json:3218 | How many students are in each department? | SELECT count(*) , dept_code FROM student GROUP BY dept_code | [
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10,973 | regional_sales | bird:train.json:2669 | Count the number of orders made from the store in city with population of 3000000 to 4000000. | SELECT COUNT(T1.OrderNumber) FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T2.Population BETWEEN 3000000 AND 4000000 | [
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10,974 | public_review_platform | bird:train.json:3977 | Under the attribute name of "music_playlist", describe the attribute ID, business ID, city and inactive status. | SELECT T1.attribute_id, T2.business_id, T3.city FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id WHERE T1.attribute_name = 'music_playlist' AND T3.active = 'false' | [
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10,976 | retail_complains | bird:train.json:279 | Find and list the names of districts which has below-average stars for Eagle Capital. | SELECT T2.division FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Product = 'Eagle Capital' AND T1.Stars > ( SELECT AVG(Stars) FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id ) | [
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10,977 | formula_1 | spider:train_spider.json:2196 | What is the id and stop number for each driver that has a shorter pit stop than the driver in the race with id 841? | SELECT DISTINCT driverid , STOP FROM pitstops WHERE duration < (SELECT max(duration) FROM pitstops WHERE raceid = 841) | [
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10,978 | world_development_indicators | bird:train.json:2172 | List the long name of countries with indicator name in 1980. | SELECT DISTINCT T1.LongName FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.Year = 1980 AND T2.IndicatorName IS NOT NULL | [
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10,979 | student_club | bird:dev.json:1424 | Among the members, how many of them have an extra large t-shirt size? | SELECT COUNT(member_id) FROM member WHERE position = 'Member' AND t_shirt_size = 'X-Large' | [
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10,981 | chicago_crime | bird:train.json:8718 | Between Deering and Near West districts, which district reported the most number of crime incidents that happened in a library? | SELECT T1.district_name FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no WHERE T1.district_name IN ('Deering', 'Near West') AND T2.location_description = 'LIBRARY' GROUP BY T1.district_name ORDER BY COUNT(T2.district_no) DESC LIMIT 1 | [
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10,982 | works_cycles | bird:train.json:7452 | List all the products with lower than average cost. | SELECT DISTINCT T2.ProductID FROM ProductCostHistory AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T1.StandardCost < ( SELECT SUM(StandardCost) / COUNT(ProductID) FROM Product ) | [
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10,983 | address | bird:train.json:5197 | What is the difference in the number of bad alias between Aguada city and Aguadilla city? | SELECT COUNT(CASE WHEN T2.city = 'Aguada' THEN T1.bad_alias ELSE NULL END) - COUNT(CASE WHEN T2.city = 'Aguadilla' THEN T1.bad_alias ELSE NULL END) AS DIFFERENCE FROM avoid AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code | [
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10,984 | school_finance | spider:train_spider.json:1894 | List each donator name and the amount of endowment in descending order of the amount of endowment. | SELECT donator_name , sum(amount) FROM endowment GROUP BY donator_name ORDER BY sum(amount) DESC | [
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10,985 | card_games | bird:dev.json:458 | How many artists have designed a card with a black border color and is available in both "arena" and "mtgo" printing type? | SELECT COUNT(CASE WHEN availability LIKE '%arena,mtgo%' AND borderColor = 'black' THEN 1 ELSE NULL END) FROM cards | [
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10,986 | conference | bird:test.json:1064 | What year had the fewest conferences? | SELECT YEAR FROM conference GROUP BY YEAR ORDER BY count(*) LIMIT 1 | [
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10,988 | cre_Docs_and_Epenses | spider:train_spider.json:6407 | How many documents are with document type code BK for each product id? | SELECT count(*) , project_id FROM Documents WHERE document_type_code = "BK" GROUP BY project_id | [
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10,989 | customers_card_transactions | spider:train_spider.json:709 | How many credit cards does customer Blanche Huels have? | SELECT count(*) FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.customer_first_name = "Blanche" AND T2.customer_last_name = "Huels" AND T1.card_type_code = "Credit" | [
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10,990 | car_road_race | bird:test.json:1326 | How many different engines are used by drivers with age older than 30 or younger than 20? | SELECT count(DISTINCT Engine) FROM driver WHERE Age > 30 OR Age < 20 | [
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10,991 | wedding | spider:train_spider.json:1646 | Show the church names for the weddings of all people older than 30. | SELECT T4.name FROM wedding AS T1 JOIN people AS T2 ON T1.male_id = T2.people_id JOIN people AS T3 ON T1.female_id = T3.people_id JOIN church AS T4 ON T4.church_id = T1.church_id WHERE T2.age > 30 OR T3.age > 30 | [
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10,992 | bike_racing | bird:test.json:1486 | How many bikes does each cyclist own? Order by cyclist id. | SELECT cyclist_id , count(*) FROM cyclists_own_bikes GROUP BY cyclist_id ORDER BY cyclist_id | [
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10,993 | citeseer | bird:train.json:4155 | Under what classification do the papers that cited word1163 belong? | SELECT DISTINCT T1.class_label FROM paper AS T1 INNER JOIN content AS T2 ON T1.paper_id = T2.paper_id WHERE T2.word_cited_id = 'word1163' | [
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10,994 | boat_1 | bird:test.json:911 | Find the names of sailors whose rating is larger than the rating of all sailors who booked a red boat. | SELECT name FROM Sailors WHERE rating > (SELECT max(T1.rating) FROM Sailors AS T1 JOIN Reserves AS T2 ON T1.sid = T2.sid JOIN Boats AS T3 ON T3.bid = T2.bid WHERE T3.color = 'red') | [
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10,995 | legislator | bird:train.json:4883 | Among all the current legislators born after the year 1960, how many of them are not google entities? | SELECT COUNT(*) FROM current WHERE strftime('%Y', birthday_bio) > '1960' AND google_entity_id_id IS NULL | [
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10,996 | language_corpus | bird:train.json:5807 | For the word "grec", what is the percentage of the appearances in the "Art" Wikipedia page have among all the appearances? | SELECT CAST(SUM(CASE WHEN T3.title = 'Art' THEN T2.occurrences ELSE 0 END) AS REAL) * 100 / SUM(T2.occurrences) FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid INNER JOIN pages AS T3 ON T2.pid = T3.pid WHERE T1.word = 'grec' | [
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10,997 | public_review_platform | bird:train.json:3809 | How many businesses in Glendale city that are still running is opened from 8AM to 6PM? | SELECT COUNT(T1.category_name) 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_Hours AS T4 ON T3.business_id = T4.business_id WHERE T3.city LIKE 'Glendale' AND T4.opening_time LIKE '8AM' AND T4... | [
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10,998 | voter_2 | spider:train_spider.json:5449 | How many distinct president votes are recorded? | SELECT count(DISTINCT President_Vote) FROM VOTING_RECORD | [
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10,999 | codebase_community | bird:dev.json:651 | Provide the related post title of "How to tell if something happened in a data set which monitors a value over time". | SELECT T3.Title FROM postLinks AS T1 INNER JOIN posts AS T2 ON T1.PostId = T2.Id INNER JOIN posts AS T3 ON T1.RelatedPostId = T3.Id WHERE T2.Title = 'How to tell if something happened in a data set which monitors a value over time' | [
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11,000 | chicago_crime | bird:train.json:8713 | Who is the crime against criminal sexual abuse? | SELECT crime_against FROM FBI_Code WHERE title = 'Criminal Sexual Abuse' | [
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11,001 | insurance_and_eClaims | spider:train_spider.json:1526 | Find the number of distinct stages in claim processing. | SELECT count(*) FROM claims_processing_stages | [
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11,002 | club_1 | spider:train_spider.json:4302 | How many members of club "Bootup Baltimore" are younger than 18? | SELECT count(*) FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Bootup Baltimore" AND t3.age < 18 | [
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11,003 | disney | bird:train.json:4683 | Provide the movie titles and the estimated inflation rate of the highest total grossed movie. | SELECT movie_title, CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL) / CAST(REPLACE(trim(total_gross, '$'), ',', '') AS REAL) FROM movies_total_gross ORDER BY CAST(REPLACE(trim(total_gross, '$'), ',', '') AS REAL) DESC LIMIT 1 | [
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11,005 | menu | bird:train.json:5543 | Which dish has the longest history? | SELECT name FROM Dish ORDER BY last_appeared - Dish.first_appeared DESC LIMIT 1 | [
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11,006 | customers_and_addresses | spider:train_spider.json:6104 | Return the channel code and contact number of the customer contact channel whose active duration was the longest. | SELECT channel_code , contact_number FROM customer_contact_channels WHERE active_to_date - active_from_date = (SELECT active_to_date - active_from_date FROM customer_contact_channels ORDER BY (active_to_date - active_from_date) DESC LIMIT 1) | [
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11,007 | insurance_fnol | spider:train_spider.json:902 | Return the sum and average of all settlement amounts. | SELECT sum(settlement_amount) , avg(settlement_amount) FROM settlements | [
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11,008 | shipping | bird:train.json:5593 | How many shipments were delivered by the oldest truck model? | SELECT COUNT(*) FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id GROUP BY T1.model_year ORDER BY T1.model_year ASC LIMIT 1 | [
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11,009 | formula_1 | bird:dev.json:973 | List out top 10 Spanish drivers who were born before 1982 and have the latest lap time. | SELECT T2.driverId FROM pitStops AS T1 INNER JOIN drivers AS T2 on T1.driverId = T2.driverId WHERE T2.nationality = 'Spanish' AND STRFTIME('%Y', T2.dob) < '1982' ORDER BY T1.time DESC LIMIT 10 | [
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"O",
"O",
"O",
"B-VALUE",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
11,010 | theme_gallery | spider:train_spider.json:1661 | What is the name of the artist who joined latest? | SELECT name FROM artist ORDER BY year_join DESC LIMIT 1 | [
"What",
"is",
"the",
"name",
"of",
"the",
"artist",
"who",
"joined",
"latest",
"?"
] | [
{
"id": 2,
"type": "column",
"value": "year_join"
},
{
"id": 0,
"type": "table",
"value": "artist"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] | [
{
"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",
"O",
"O"
] |
11,011 | shipping | bird:train.json:5672 | Give the annual revenue of the customer of ship ID 1047. | SELECT T2.annual_revenue FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id WHERE T1.ship_id = '1047' | [
"Give",
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"1047",
"."
] | [
{
"id": 0,
"type": "column",
"value": "annual_revenue"
},
{
"id": 1,
"type": "table",
"value": "shipment"
},
{
"id": 2,
"type": "table",
"value": "customer"
},
{
"id": 3,
"type": "column",
"value": "ship_id"
},
{
"id": 5,
"type": "column",
... | [
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},
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},
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9
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},
{
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... | [
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"O",
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"O",
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"B-VALUE",
"O"
] |
11,012 | inn_1 | spider:train_spider.json:2632 | Find the name and id of the top 3 expensive rooms. | SELECT RoomId , roomName FROM Rooms ORDER BY basePrice DESC LIMIT 3; | [
"Find",
"the",
"name",
"and",
"i",
"d",
"of",
"the",
"top",
"3",
"expensive",
"rooms",
"."
] | [
{
"id": 3,
"type": "column",
"value": "baseprice"
},
{
"id": 2,
"type": "column",
"value": "roomname"
},
{
"id": 1,
"type": "column",
"value": "roomid"
},
{
"id": 0,
"type": "table",
"value": "rooms"
}
] | [
{
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},
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},
{
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},
{
"entity_id": 5,
"token_idxs":... | [
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
11,013 | products_gen_characteristics | spider:train_spider.json:5588 | Find the product names that are colored 'white' but do not have unit of measurement "Handful". | SELECT t1.product_name FROM products AS t1 JOIN ref_product_categories AS t2 ON t1.product_category_code = t2.product_category_code JOIN ref_colors AS t3 ON t1.color_code = t3.color_code WHERE t3.color_description = "white" AND t2.unit_of_measure != "Handful" | [
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"\"",
"Handful",
"\"",
"."
] | [
{
"id": 3,
"type": "table",
"value": "ref_product_categories"
},
{
"id": 9,
"type": "column",
"value": "product_category_code"
},
{
"id": 5,
"type": "column",
"value": "color_description"
},
{
"id": 7,
"type": "column",
"value": "unit_of_measure"
},
{
... | [
{
"entity_id": 0,
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]
},
{
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},
{
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2
]
},
{
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"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
6
]
},
{
"entity_... | [
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"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"B-COLUMN",
"O",
"O"
] |
11,014 | retails | bird:train.json:6897 | In 1997, how many orders were shipped via mail? | SELECT COUNT(l_orderkey) FROM lineitem WHERE STRFTIME('%Y', l_shipdate) = '1997' AND l_shipmode = 'MAIL' | [
"In",
"1997",
",",
"how",
"many",
"orders",
"were",
"shipped",
"via",
"mail",
"?"
] | [
{
"id": 1,
"type": "column",
"value": "l_orderkey"
},
{
"id": 3,
"type": "column",
"value": "l_shipmode"
},
{
"id": 6,
"type": "column",
"value": "l_shipdate"
},
{
"id": 0,
"type": "table",
"value": "lineitem"
},
{
"id": 2,
"type": "value",
... | [
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
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5
]
},
{
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1
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
9
]
},
{
"entity_id": 5,
"... | [
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"O",
"O",
"O",
"B-COLUMN",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
11,015 | student_loan | bird:train.json:4563 | How many of the unemployed students are disabled? | SELECT COUNT(T1.name) FROM unemployed AS T1 INNER JOIN disabled AS T2 ON T1.name = T2.name | [
"How",
"many",
"of",
"the",
"unemployed",
"students",
"are",
"disabled",
"?"
] | [
{
"id": 0,
"type": "table",
"value": "unemployed"
},
{
"id": 1,
"type": "table",
"value": "disabled"
},
{
"id": 2,
"type": "column",
"value": "name"
}
] | [
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
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7
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": ... | [
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-TABLE",
"O"
] |
11,016 | mondial_geo | bird:train.json:8376 | What's the name of the second biggest desert? | SELECT Name FROM desert ORDER BY Area DESC LIMIT 1, 1 | [
"What",
"'s",
"the",
"name",
"of",
"the",
"second",
"biggest",
"desert",
"?"
] | [
{
"id": 0,
"type": "table",
"value": "desert"
},
{
"id": 1,
"type": "column",
"value": "name"
},
{
"id": 2,
"type": "column",
"value": "area"
}
] | [
{
"entity_id": 0,
"token_idxs": [
8
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": ... | [
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
11,017 | tracking_grants_for_research | spider:train_spider.json:4385 | What are the details for the projects which were launched by the organization with the most projects? | SELECT project_details FROM Projects WHERE organisation_id IN ( SELECT organisation_id FROM Projects GROUP BY organisation_id ORDER BY count(*) DESC LIMIT 1 ) | [
"What",
"are",
"the",
"details",
"for",
"the",
"projects",
"which",
"were",
"launched",
"by",
"the",
"organization",
"with",
"the",
"most",
"projects",
"?"
] | [
{
"id": 1,
"type": "column",
"value": "project_details"
},
{
"id": 2,
"type": "column",
"value": "organisation_id"
},
{
"id": 0,
"type": "table",
"value": "projects"
}
] | [
{
"entity_id": 0,
"token_idxs": [
6
]
},
{
"entity_id": 1,
"token_idxs": [
16
]
},
{
"entity_id": 2,
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12
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
... | [
"O",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
11,018 | region_building | bird:test.json:348 | What are the names of regions in which there are no buildings? | SELECT Name FROM region WHERE Region_ID NOT IN (SELECT Region_ID FROM building) | [
"What",
"are",
"the",
"names",
"of",
"regions",
"in",
"which",
"there",
"are",
"no",
"buildings",
"?"
] | [
{
"id": 2,
"type": "column",
"value": "region_id"
},
{
"id": 3,
"type": "table",
"value": "building"
},
{
"id": 0,
"type": "table",
"value": "region"
},
{
"id": 1,
"type": "column",
"value": "name"
}
] | [
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
11
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
... | [
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
11,019 | law_episode | bird:train.json:1269 | How many times is the number of keywords in "Refuge: Part 1" episode than "Shield" episode? | SELECT CAST(SUM(CASE WHEN T1.title = 'Refuge: Part 1' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.title = 'Shield' THEN 1 ELSE 0 END) FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id | [
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"many",
"times",
"is",
"the",
"number",
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"\"",
"episode",
"than",
"\"",
"Shield",
"\"",
"episode",
"?"
] | [
{
"id": 7,
"type": "value",
"value": "Refuge: Part 1"
},
{
"id": 2,
"type": "column",
"value": "episode_id"
},
{
"id": 0,
"type": "table",
"value": "episode"
},
{
"id": 1,
"type": "table",
"value": "keyword"
},
{
"id": 6,
"type": "value",
"... | [
{
"entity_id": 0,
"token_idxs": [
20
]
},
{
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7
]
},
{
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},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
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13
]
},
{
"entity_id": 5,
... | [
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"B-VALUE",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-TABLE",
"O"
] |
11,020 | gymnast | spider:train_spider.json:1746 | What are the names of gymnasts? | SELECT T2.Name FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID | [
"What",
"are",
"the",
"names",
"of",
"gymnasts",
"?"
] | [
{
"id": 3,
"type": "column",
"value": "gymnast_id"
},
{
"id": 4,
"type": "column",
"value": "people_id"
},
{
"id": 1,
"type": "table",
"value": "gymnast"
},
{
"id": 2,
"type": "table",
"value": "people"
},
{
"id": 0,
"type": "column",
"valu... | [
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
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5
]
},
{
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},
{
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},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": ... | [
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O"
] |
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