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video_games | Mention the genre of the 2Xtreme. | genre refers to genre_name; the 2Xtreme game refers to game_name = '2Xtreme' | SELECT T2.id FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id WHERE T1.game_name = '2Xtreme' | 6,500 | simple |
works_cycles | What is the name of the subcategory to which the gray product with the lowest safety stock level belongs? | gray is color of product | SELECT T1.Name FROM ProductSubcategory AS T1 INNER JOIN Product AS T2 USING (ProductSubcategoryID) WHERE T2.Color = 'Grey' GROUP BY T1.Name | 6,501 | simple |
law_episode | What is the ratio of American casts on episode 2 of the series? Please include their roles. | American refers to birth_country = 'USA'; cast refers to category = 'Cast'; ratio = divide(count(person_id where birth_country = 'USA'), total(category)) where category = 'Cast' | SELECT CAST(SUM(CASE WHEN T2.category = 'Cast' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.category), T1.role FROM Award AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Episode AS T3 ON T2.episode_id = T3.episode_id INNER JOIN Person AS T4 ON T2.person_id = T4.person_id WHERE T3.episode = 2 AND T4.birth_country = 'USA' | 6,502 | challenging |
menu | Among all the menu pages with the appearance of the dish "Clear green turtle", how many of them have the dish at a stable price? | Clear green turtle is a name of dish; stable price refers to highest_price is null; | SELECT SUM(CASE WHEN T1.name = 'Clear green turtle' THEN 1 ELSE 0 END) FROM Dish AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.dish_id WHERE T1.highest_price IS NULL | 6,503 | simple |
talkingdata | What age group is the most using SM-T2558 model phones? | age group using SM-T2558 model phones the most refers to MAX(COUNT(group WHERE device_model = 'SM-T2558')); SM-T2558 model phones refers to device_model = 'SM-T2558'; | SELECT T.`group` FROM ( SELECT T1.`group`, COUNT(T1.device_id) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'SM-T2558' GROUP BY T1.`group` ) AS T ORDER BY T.num DESC LIMIT 1 | 6,504 | moderate |
books | Count the number of books written by Orson Scott Card. | "Orson Scott Card" is the author_name | SELECT COUNT(*) FROM book AS T1 INNER JOIN book_author AS T2 ON T1.book_id = T2.book_id INNER JOIN author AS T3 ON T3.author_id = T2.author_id WHERE T3.author_name = 'Orson Scott Card' | 6,505 | simple |
movie_3 | How much percentage of the film did Mary Keitel perform more than Angela Witherspoon? | 'Mary Keitel' AND 'Angela Witherspoon' are full name of actors; full name refers to FirstName, LastName; calculation = DIVIDE(SUBTRACT(SUM('Mary Keitel'), SUM('Angela Witherspoon')), SUM('Angela Witherspoon')) * 100 | SELECT CAST((SUM(IIF(T1.first_name = 'ANGELA' AND T1.last_name = 'WITHERSPOON', 1, 0)) - SUM(IIF(T1.first_name = 'MARY' AND T1.last_name = 'KEITEL', 1, 0))) AS REAL) * 100 / SUM(IIF(T1.first_name = 'MARY' AND T1.last_name = 'KEITEL', 1, 0)) FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id | 6,506 | challenging |
works_cycles | Please list 3 businesses along with their IDs that use cellphones. | business along with their IDs = BusinessEntityID; Cellphones refers to PhoneNumberType.name = ‘cell’ | SELECT T2.BusinessEntityID FROM PhoneNumberType AS T1 INNER JOIN PersonPhone AS T2 ON T1.PhoneNumberTypeID = T2.PhoneNumberTypeID WHERE T1.Name = 'Cell' LIMIT 3 | 6,507 | simple |
public_review_platform | How long does business number 12 in Scottsdale stay open on day number 3? | business number refers to business_id; Scottsdale refers to city = 'Scottsdale'; day number refers to day_id; | SELECT T2.closing_time - T2.opening_time AS "hour" FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.business_id = 12 AND T1.city LIKE 'Scottsdale' AND T2.day_id = 3 | 6,508 | simple |
retails | Among the customers from Brazil, how many customers are in automobile market segment? | customers refer to c_custkey; Brazil is the name of the nation which refers to n_name = 'BRAZIL'; c_mktsegment = 'automobile'; | SELECT COUNT(T1.c_custkey) FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T1.c_mktsegment = 'AUTOMOBILE' AND T2.n_name = 'BRAZIL' | 6,509 | simple |
soccer_2016 | List the names and countries of the players from Gujarat Lions who played in the match held on 11th April 2016. | player's name refers to Player_Name; country refers to Country_Name; Gujarat Lions refers to Team_Name = 'Gujarat Lions'; on 11th April 2016 refers to Match_Date = '2016-04-11' | SELECT T4.Player_Name, T5.Country_Name FROM Player_Match AS T1 INNER JOIN Team AS T2 ON T2.Team_Id = T1.Team_Id INNER JOIN Match AS T3 ON T3.Match_Id = T1.Match_Id INNER JOIN Player AS T4 ON T4.Player_Id = T1.Player_Id INNER JOIN Country AS T5 ON T5.Country_Id = T4.Country_Name WHERE T2.Team_Name = 'Gujarat Lions' AND T3.Match_Date = '2016-04-11' | 6,510 | moderate |
cookbook | Which recipes contain almond extract? | almond extract is a name of an ingredient | SELECT T1.title FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id INNER JOIN Ingredient AS T3 ON T3.ingredient_id = T2.ingredient_id WHERE T3.name = 'almond extract' | 6,511 | simple |
address | List 10 cities with a median age over 40. Include their zip codes and area codes. | median age over 40 refers to median_age > 40 | SELECT T2.city, T2.zip_code, T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.median_age >= 40 LIMIT 10 | 6,512 | simple |
authors | How many papers are published in year 2000 under the conference "SSPR"? | SSPR is a ShortName; papers refers to Paper.Id | SELECT COUNT(T1.Id) FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.Year = 2000 AND T2.ShortName = 'SSPR' | 6,513 | simple |
movies_4 | List all the keywords with "christmas" in them. | keywords with "christmas" in them refers to keyword_name LIKE '%christmas%' | SELECT keyword_name FROM keyword WHERE keyword_name LIKE '%christmas%' | 6,514 | simple |
olympics | In which cities were the 1976 winter and summer games held? | cities refer to city_name; 1976 winter and summer games refer to games_name IN ('1976 Winter', '1976 Summer'); | SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T3.games_name IN ('1976 Summer', '1976 Winter') | 6,515 | simple |
hockey | Which year was the goalie who had the most postseaon shots Against in 2008 born? | the most postseason shots Against refers to max(PostSA); year born refers to birthYear | SELECT T1.birthYear FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE T2.year = 2008 ORDER BY T2.PostSA DESC LIMIT 1 | 6,516 | simple |
retail_complains | For all the complaint callers on 2017/3/27, what percentage of the clients are females? | on 2017/3/27 refers to "Date received" = '2017-03-27'; percentage = MULTIPLY(DIVIDE(SUM(sex = 'Female' ), COUNT(client_id)), 1.0); females refers to sex = 'Female'; | SELECT CAST(SUM(CASE WHEN T1.sex = 'Female' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.sex) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2017-03-27' | 6,517 | moderate |
olympics | What is the season of the game where a competitor who weighted 73 kg and 180 cm tall, participated? | competitor who weighted 73 kg and 180 cm tall refers to person_id where height = 180 and weight = 73; | SELECT DISTINCT T1.season FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.height = 180 AND T3.weight = 73 | 6,518 | simple |
retails | Please list the phone numbers of all the customers in the household segment and are in Brazil. | phone numbers refer to c_phone; Brazil is the name of the nation which refers to n_name = 'BRAZIL'; household segment refers to c_mktsegment = 'HOUSEHOLD'; | SELECT T1.c_phone FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T1.c_mktsegment = 'HOUSEHOLD' AND T2.n_name = 'BRAZIL' | 6,519 | simple |
cs_semester | What is the full name of the professor who graduated from an Ivy League School? | Ivy League school is assembled by 8 universities: Brown University, Columbia University, Cornell University, Dartmouth College, Harvard University, Princeton University, University of Pennsylvania and Yale University; | SELECT first_name, last_name FROM prof WHERE graduate_from IN ( 'Brown University', 'Columbia University', 'Cornell University', 'Dartmouth College', 'Harvard University', 'Princeton University', 'University of Pennsylvania', 'Yale University' ) | 6,520 | simple |
law_episode | Which episode has the highest total number of viewer votes? | episode refers to title; the highest total number of viewer votes refers to max(sum(votes)) | SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id GROUP BY T1.title ORDER BY SUM(T1.votes) DESC LIMIT 1 | 6,521 | simple |
retail_complains | What was the issue that the client with the longest server time faced? | longest server time refers to MAX(ser_time); | SELECT T2.Issue FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T1.ser_time = ( SELECT MAX(ser_time) FROM callcenterlogs ) | 6,522 | simple |
professional_basketball | What is the percentage of players who attended Auburn University and won an "All-Defensive Second Team" award? | Auburn University refers to college = 'Auburn'; won an "All-Defensive Second Team" award refers to award = 'All-Defensive Second Team'; percentage = divide(count(playerID where award = 'All-Defensive Second Team'), count(playerID)) where college = 'Auburn' * 100% | SELECT CAST(SUM(CASE WHEN T2.award = 'All-Defensive Second Team' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM players AS T1 INNER JOIN awards_players AS T2 ON T1.playerID = T2.playerID WHERE T1.college = 'Auburn' | 6,523 | moderate |
retail_world | Among the seafood products, which product have the highest total production of the production? | seafood product refers to CategoryName = 'Seafood'; product refers to ProductID; highest total production refers to max(add(units in stock, units on order)) | SELECT T1.ProductName FROM Products AS T1 INNER JOIN Categories AS T2 ON T1.CategoryID = T2.CategoryID WHERE T2.CategoryName = 'Seafood' ORDER BY T1.UnitsInStock + T1.UnitsOnOrder DESC LIMIT 1 | 6,524 | simple |
regional_sales | Which sales channel was most preferred in commercializing products in January 2020 based on the number of orders placed? | order refers to OrderDate; in 2020 refers to Substr(OrderDate, -2) = '20'; January refers to Substr(OrderDate, 1, 1) = '1'; most preferred sales channel refers to Sales Channel where Max(Count(OrderNumber)) | SELECT `Sales Channel` FROM `Sales Orders` WHERE OrderDate LIKE '1/%/20' GROUP BY `Sales Channel` ORDER BY COUNT(`Sales Channel`) DESC LIMIT 1 | 6,525 | simple |
retail_world | Which customer is a regular customer in this shop and what are the products category that he mostly buy? | regular customer refers to max(count(CustomerID)); products category refers to CategoryName; mostly buy refers to max(count(CategoryID)) | SELECT T1.CustomerID, T4.CategoryName FROM Orders AS T1 INNER JOIN `Order Details` AS T2 ON T1.OrderID = T2.OrderID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID INNER JOIN Categories AS T4 ON T3.CategoryID = T4.CategoryID ORDER BY T1.CustomerID DESC, T4.CategoryName DESC | 6,526 | moderate |
ice_hockey_draft | Who has the heaviest weight? | who refers to PlayerName; heaviest weight refers to MAX(weight_in_kg); | SELECT T1.PlayerName FROM PlayerInfo AS T1 INNER JOIN weight_info AS T2 ON T1.weight = T2.weight_id ORDER BY T2.weight_in_kg DESC LIMIT 1 | 6,527 | simple |
chicago_crime | What is the general description for case number JB106010? | general description refers to primary_description | SELECT T1.primary_description FROM IUCR AS T1 INNER JOIN Crime AS T2 ON T1.iucr_no = T2.iucr_no WHERE T2.case_number = 'JB106010' | 6,528 | simple |
regional_sales | What is the region of stores which have type of "Town" in the list? | SELECT T FROM ( SELECT DISTINCT CASE WHEN T2.Type = 'Town' THEN T1.Region END AS T FROM Regions T1 INNER JOIN `Store Locations` T2 ON T2.StateCode = T1.StateCode ) WHERE T IS NOT NULL | 6,529 | simple |
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law_episode | On what episode did Julia Roberts win the "Outstanding Guest Actress in a Drama Series" award during the 1999 Primetime Emmy Awards? Tell me her role. | win refers to result = 'Winner'; the "Outstanding Guest Actress in a Drama Series" award refers to award = 'Outstanding Guest Actress in a Drama Series'; the 1999 refers to year = 1999; Primetime Emmy Awards refers to organization = 'Primetime Emmy Awards' | SELECT T3.episode_id, T2.role FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id INNER JOIN Episode AS T3 ON T2.episode_id = T3.episode_id WHERE T2.year = 1999 AND T2.award = 'Outstanding Guest Actress in a Drama Series' AND T2.organization = 'Primetime Emmy Awards' AND T1.name = 'Julia Roberts' AND T2.result = 'Nominee' | 6,530 | challenging |
movie_3 | Among the films that are released in 2006, how many of them are rated Adults Only in the Motion Picture Association Film Rating? | released in 2006 refers to release_year = 2006; rated Adults Only refers to rating = 'NC-17' | SELECT COUNT(film_id) FROM film WHERE rating = 'NC-17' AND release_year = 2006 | 6,531 | simple |
works_cycles | Among the employees in Adventure Works, calculate the percentage of them working as sales representatives. | percentage of sales representatives = divide(count(JobTitle = 'Sales Representative'), count(JobTitle))*100% | SELECT CAST(SUM(CASE WHEN JobTitle = 'Sales Representative' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(BusinessEntityID) FROM Employee | 6,532 | simple |
sales | Among the products that have price ranges from 100 to 150, what is the customer ID and sales ID of the product with a quantity lower than 25? | price ranges from 100 to 150 refers to Price BETWEEN 100 AND 150; quantity lower than 25 refers to Quantity < 25; | SELECT T2.CustomerID, T2.SalesID FROM Products AS T1 INNER JOIN Sales AS T2 ON T1.ProductID = T2.ProductID WHERE T1.Price BETWEEN 100 AND 150 AND T2.Quantity < 25 | 6,533 | simple |
olympics | Which city hosted the most games? | Which city refers to city_name; the most games refer to MAX(COUNT(city_name)); | SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id GROUP BY T2.city_name ORDER BY COUNT(T2.city_name) DESC LIMIT 1 | 6,534 | simple |
sales | In sales ID between 30 and 40, who is the customer that bought a total quantity of 403? | who refers to FirstName, LastName; | SELECT T2.FirstName, T2.LastName FROM Sales AS T1 INNER JOIN Customers AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.Quantity = 403 AND T1.SalesID BETWEEN 30 AND 40 | 6,535 | simple |
movies_4 | List the person IDs of the second film editors in Movie No. 12. | second film editors refers to job = 'Second Film Editor'; Movie No. 12 refers to movie_id = 12 | SELECT person_id FROM movie_crew WHERE movie_id = 12 AND job = 'Second Film Editor' | 6,536 | simple |
chicago_crime | How many crime cases have been classified as "Weapons Violation" by the FBI? | "Weapons Violation" is the title of crime; crime cases refers to report_no; | SELECT SUM(CASE WHEN T2.title = 'Weapons Violation' THEN 1 ELSE 0 END) FROM Crime AS T1 INNER JOIN FBI_Code AS T2 ON T1.fbi_code_no = T2.fbi_code_no | 6,537 | simple |
books | How many customers use a Yahoo! Mail e-mail address? | Yahoo! Mail e-mail address refers to email LIKE '%@yahoo.com' | SELECT COUNT(*) FROM customer WHERE email LIKE '%@yahoo.com' | 6,538 | simple |
world | What are the official languages of the country where you can find the city with the least population? | official language refers to IsOfficial = 'T'; least population refers to MIN(Population); | SELECT T2.Language FROM City AS T1 INNER JOIN CountryLanguage AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.IsOfficial = 'T' ORDER BY T1.Population ASC LIMIT 1 | 6,539 | simple |
world_development_indicators | Please list the full names of any three countries that have their series code with a description of UN Energy Statistics (2014). | full name refers to longname | SELECT DISTINCT T2.LongName FROM CountryNotes AS T1 INNER JOIN Country AS T2 ON T1.Countrycode = T2.CountryCode WHERE T1.Description = 'Sources: UN Energy Statistics (2014)' LIMIT 3 | 6,540 | simple |
sales_in_weather | For the home weather station of store no.15, what was the dew point on 2012/2/18? | store no. 15 refers to store_nbr = 15; on 2012/2/18 refers to date = '2012-02-18' | SELECT T1.dewpoint FROM weather AS T1 INNER JOIN relation AS T2 ON T1.station_nbr = T2.station_nbr WHERE T2.store_nbr = 15 AND T1.`date` = '2012-02-18' | 6,541 | simple |
shakespeare | How many acts can be found in the comedy "Two Gentlemen of Verona"? | comedy refers to GenreType = 'comedy'; "Two Gentlemen of Verona" refers to Title = 'Two Gentlemen of Verona' | SELECT COUNT(T1.ACT) FROM chapters AS T1 LEFT JOIN works AS T2 ON T1.work_id = T2.id WHERE T2.GenreType = 'Comedy' AND T2.Title = 'Two Gentlemen of Verona' | 6,542 | simple |
movies_4 | List the names of the production companies that made at least 200 movies. | names of the production companies refers to company_name; at least 200 movies refers to COUNT(company_name) > = 200 | SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id GROUP BY T1.company_id HAVING COUNT(T2.movie_id) > 200 | 6,543 | simple |
talkingdata | What is the ratio of female users to male users who uses a vivo device? | ratio = DIVIDE(SUM(gender = 'M' WHERE phone_brand = 'vivo'), SUM(gender = 'F' WHERE phone_brand = 'vivo')); female refers to gender = 'F'; male refers to gender = 'M'; vivo device refers to phone_brand = 'vivo'; | SELECT SUM(IIF(T1.gender = 'M', 1, 0)) / SUM(IIF(T1.gender = 'F', 1, 0)) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'vivo' | 6,544 | moderate |
retail_complains | Among the female clients, how many of them have a complaint with a priority of 1? | female refers to sex = 'Female' | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.sex = 'Female' AND T2.priority = 1 | 6,545 | simple |
sales | How many customers are named Madison? | SELECT COUNT(CustomerID) FROM Customers WHERE FirstName = 'Madison' | 6,546 | simple |
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movies_4 | What is the title of the movie that was made with the most money and resources? | made with the most money and resources refers to max(budget) | SELECT title FROM movie ORDER BY budget DESC LIMIT 1 | 6,547 | simple |
chicago_crime | Please list the area name of the communities in the Far north side, which has a population of more than 50000 but less than 70000. | area name refers to community_area_name; the Far north side refers to side = 'Far North'; a population of more than 50000 but less than 70000 refers to population BETWEEN '50000' AND '70000' | SELECT community_area_name, side FROM Community_Area WHERE side = 'Far North ' AND population BETWEEN 50000 AND 70000 | 6,548 | simple |
cars | What is the percentage of cars that was produced by Japan among those that have a sweep volume of no less than 30? | produced by Japan refers to country = 'Japan'; a sweep volume of no less than 30 refers to divide(displacement, cylinders) > 30; percentage = divide(count(ID where country = 'Japan'), count(ID)) * 100% where divide(displacement, cylinders) > 30 | SELECT CAST(SUM(CASE WHEN T3.country = 'Japan' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T1.displacement / T1.cylinders > 30 | 6,549 | challenging |
movie_3 | Among films with store ID of 2, list the title of films with the highest rental rate. | highest rental rate refers to MAX(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 | 6,550 | simple |
sales | Calculate the total trading quantity of Abraham sold to Aaron Alexander. | total trading quantity = SUM(Quantity WHERE Employees.FirstName = 'Abraham' AND Customers.FirstName = 'Aaron' AND Customers.LastName = 'Alexander'); | SELECT SUM(T2.Quantity) FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN Employees AS T3 ON T2.SalesPersonID = T3.EmployeeID WHERE T2.SalesPersonID = 1 AND T1.FirstName = 'Aaron' AND T1.LastName = 'Alexander' AND T3.FirstName = 'Abraham' | 6,551 | moderate |
language_corpus | How many pages does the Catalan language have in Wikipedia? | Catalan language refers to lang = 'ca' | SELECT pages FROM langs WHERE lang = 'ca' | 6,552 | simple |
codebase_comments | How many followers do the most followed repository on Github have? Give the github address of the repository. | more forks refers to more people follow this repository; most followed repository refers to max(Forks); the github address of the repository refers to Url; | SELECT Forks, Url FROM Repo WHERE Forks = ( SELECT MAX(Forks) FROM Repo ) | 6,553 | simple |
language_corpus | Among the biwords pairs with "àbac" as its first word, how many of them have an occurrence of over 10? | àbac refers to word = 'àbac'; as first word refers to w1st; occurrence of over 10 refers to occurrences > 10 | SELECT COUNT(T2.w2nd) FROM words AS T1 INNER JOIN biwords AS T2 ON T1.wid = T2.w1st WHERE T1.word = 'àbac' AND T2.occurrences > 10 | 6,554 | simple |
soccer_2016 | Among the players whose bowling skill is "Legbreak", when was the oldest one of them born? | the oldest refers to min(DOB); date of birth refers to DOB | SELECT MIN(T1.DOB) FROM Player AS T1 INNER JOIN Bowling_Style AS T2 ON T1.Bowling_skill = T2.Bowling_Id WHERE T2.Bowling_Skill = 'Legbreak' | 6,555 | simple |
disney | What are the characters in the PG movies? | PG is an abbreviation for parental guidance and refers to MPAA_rating = 'PG'; | SELECT DISTINCT T2.character FROM movies_total_gross AS T1 INNER JOIN `voice-actors` AS T2 ON T1.movie_title = T2.movie WHERE T1.MPAA_rating = 'PG' | 6,556 | simple |
professional_basketball | Who are the coaches for team with winning rate of 80% and above? | winning rate of 80% and above refers to Divide (won, Sum(won, lost)) > 0.8; coaches refers to coachID | SELECT coachID FROM coaches GROUP BY tmID, coachID, won, lost HAVING CAST(won AS REAL) * 100 / (won + lost) > 80 | 6,557 | simple |
simpson_episodes | What is the credited cast for the episode "In the Name of the Grandfather"? | credited cast refers to category = 'Cast' and credited = 'true'; episode "In the Name of the Grandfather" refers to title = 'In the Name of the Grandfather' | SELECT DISTINCT T2.person FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'In the Name of the Grandfather' AND T2.category = 'Cast' AND T2.credited = 'true'; | 6,558 | moderate |
university | Please list the names of all the universities in Australia. | in Australia refers to country_name = 'Australia'; name of university refers to university_name | SELECT T1.university_name FROM university AS T1 INNER JOIN country AS T2 ON T1.country_id = T2.id WHERE T2.country_name = 'Australia' | 6,559 | simple |
university | Provide the universities which got the highest scores. | got the highest scores refers to MAX(SUM(score)) | SELECT T1.university_name FROM university AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.university_id GROUP BY T1.university_name ORDER BY SUM(T2.score) DESC LIMIT 1 | 6,560 | simple |
human_resources | Which position has a lower minimum salary, Account Representative or Trainee? | position of Account Representative refers to positiontitle = 'Account Representative'; position of Trainee refers to positiontitle = 'Trainee'; lower minimum salary refers to MIN(minsalary) | SELECT positiontitle FROM position WHERE positiontitle = 'Account Representative' OR positiontitle = 'Trainee' ORDER BY minsalary ASC LIMIT 1 | 6,561 | simple |
restaurant | List by its ID number all restaurants on 11th Street in Oakland. | 11th Street refers to street_name = '11th street'; Oakland refers to city = 'oakland'; ID number of restaurant refers to id_restaurant
| SELECT id_restaurant FROM location WHERE city = 'oakland' AND street_name = '11th street' | 6,562 | simple |
coinmarketcap | Please list the names of the crytocurrencies that have a total amount of existence of over 10000000 on 2013/4/28. | a total amount of existence of over 10000000 refers to total_supply>10000000; on 2013/4/28 refers to date = '2013-04-28' | SELECT T1.name FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-28' AND T2.total_supply > 10000000 | 6,563 | simple |
disney | Who is the hero character of the movie whose total gross was $222,527,828? | FALSE; | SELECT T1.hero FROM characters AS T1 INNER JOIN movies_total_gross AS T2 ON T2.movie_title = T1.movie_title WHERE T2.total_gross = '$222,527,828' | 6,564 | simple |
regional_sales | Indicate order numbers with an order date after 1/1/2018. | order date after 1/1/2018 refers to OrderDate > '1/1/2018' | SELECT DISTINCT T FROM ( SELECT CASE WHEN OrderDate > '1/1/18' THEN OrderNumber ELSE NULL END AS T FROM `Sales Orders` ) WHERE T IS NOT NULL | 6,565 | simple |
public_review_platform | Provide name of businesses whose category is pets and are still opened after 9PM. | category refers to category_name; open after 9pm refers to closing_time > '9PM'; | SELECT T3.business_id 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 T4.closing_time > '9PM' AND T1.category_name LIKE 'Pets' | 6,566 | moderate |
works_cycles | What is the 12th business's first line address? | 12th business refers to BusinessEntityID = 12; | SELECT T1.AddressLine1 FROM Address AS T1 INNER JOIN BusinessEntityAddress AS T2 ON T1.AddressID = T2.AddressID WHERE T2.BusinessEntityID = 12 | 6,567 | simple |
public_review_platform | Among the users who received high compliments from other users, which users joined Yelp earliest? | high compliments refers to number_of_compliments = ' High'; joined Yelp earliest refers to min(user_yelping_since_year) | SELECT T2.user_id FROM Users AS T1 INNER JOIN Users_Compliments AS T2 ON T1.user_id = T2.user_id WHERE T2.number_of_compliments = 'High' AND T1.user_yelping_since_year = ( SELECT MIN(user_yelping_since_year) FROM Users ) | 6,568 | moderate |
movies_4 | What are the genres of Sky Captain and the World of Tomorrow? | genres refers to genre_name; Sky Captain and the World of Tomorrow refers to title = 'Sky Captain and the World of Tomorrow' | SELECT T3.genre_name FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T1.title = 'Sky Captain and the World of Tomorrow' | 6,569 | simple |
mondial_geo | Which country has the 5th highest infant mortality rate? | SELECT T2.Name FROM population AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code ORDER BY T1.Infant_Mortality DESC LIMIT 4, 1 | 6,570 | simple |
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chicago_crime | Among the crimes happened in the neighborhood called "Avalon Park", what is the percentage of crimes that happened inside the house? | "Avalon Park" is the neghborhood_name; happened inside the house refers to location_description = 'HOUSE'; percentage = Divide (Count(location_description = 'HOUSE'), Count(location_description)) * 100 | SELECT CAST(SUM(CASE WHEN T2.location_description = 'HOUSE' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.location_description) AS persent FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T1.community_area_no = T2.community_area_no INNER JOIN Neighborhood AS T3 ON T2.community_area_no = T3.community_area_no WHERE T3.neighborhood_name = 'Avalon Park' | 6,571 | challenging |
food_inspection_2 | What is the result of the February 24, 2010 inspection involving the employee named "Arnold Holder"? | February 24, 2010 refers to inspection_date = '2010-02-24' | SELECT DISTINCT T2.results FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.inspection_date = '2010-02-24' AND T1.first_name = 'Arnold' AND T1.last_name = 'Holder' | 6,572 | simple |
works_cycles | What is the percentage of the total products ordered were not rejected by Drill size? | rejected quantity refers to ScrappedQty; rejected by Drill size refers to Name in ('Drill size too small','Drill size too large'); percentage = DIVIDE(SUM(ScrappedQty) where Name in('Drill size too small','Drill size too large'), OrderQty) | SELECT CAST(SUM(CASE WHEN T2.VacationHours > 20 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.BusinessEntityID) FROM EmployeePayHistory AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T2.CurrentFlag = 1 AND T2.SickLeaveHours > 10 | 6,573 | moderate |
restaurant | What type of restaurant is most common in Monterey county? | type refers to food_type; most common refers to max(count(food_type)) | SELECT T2.food_type FROM geographic AS T1 INNER JOIN generalinfo AS T2 ON T1.city = T2.city WHERE T1.county = 'Monterey' GROUP BY T2.food_type ORDER BY COUNT(T2.food_type) DESC LIMIT 1 | 6,574 | simple |
menu | Please list the names of all the dishes on page 1 of menu ID12882. | page 1 refers to page_number = 1; | SELECT T3.name FROM MenuPage AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.menu_page_id INNER JOIN Dish AS T3 ON T2.dish_id = T3.id WHERE T1.menu_id = 12882 AND T1.page_number = 1 | 6,575 | simple |
retail_world | Provide the number of orders that were handled by Michael Suyama. | SELECT COUNT(T2.OrderID) FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.FirstName = 'Michael' AND T1.LastName = 'Suyama' | 6,576 | simple |
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donor | Where is the school that needs a "Viewscreen LCD from Texas Instruments, TI-84 Plus"? Provide the latitude and longitude of that school. | needs a "Viewscreen LCD from Texas Instruments, TI-84 Plus" refers to item_name = 'Viewscreen LCD from Texas Instruments, TI-84 Plus'; where is the school refers to school_city; latitude refers to school_latitude; longtitude refers to school_longitude | SELECT T2.school_city, T2.school_latitude, T2.school_longitude FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.item_name = 'Viewscreen LCD FROM Texas Instruments, TI-84 Plus' | 6,577 | moderate |
legislator | What is the official Twitter handle of Jason Lewis? | official Twitter handle refers to twitter; | SELECT T2.twitter FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Jason Lewis' | 6,578 | simple |
college_completion | Among the Ivy League Schools in 2013, which schools have the highest number of Black students who graduated within 150 percent of normal/expected time who were seeking a bachelor's/equivalent cohort at 4-year institutions? | Ivy League Schools refers to chronname = 'Brown University' or chronname = 'Columbia University' or chronname = 'Cornell University' or chronname = 'Dartmouth College' or chronname = 'Harvard University' or chronname = 'Princeton University' or chronname = 'University of Pennsylvania' or chronname = 'Yale University'; in 2013 refers to year = '2013'; highest number of Black students who graduated within 150 percent of normal/expected time refers to MAX(grad_150 WHERE race = 'B'); seeking a bachelor's/equivalent cohort at 4-year institutions refers to cohort = '4y bach'; | SELECT T1.chronname FROM institution_details AS T1 INNER JOIN institution_grads AS T2 ON T2.unitid = T1.unitid WHERE T1.chronname IN ( 'Brown University', 'Columbia University', 'Cornell University', 'Dartmouth College', 'Harvard University', 'Princeton University', 'University of Pennsylvania', 'Yale University' ) AND T2.year = 2013 AND T2.race = 'B' AND T2.cohort = '4y bach' ORDER BY T2.grad_cohort DESC LIMIT 1 | 6,579 | challenging |
olympics | Calculate the percentage of women who have participated in Equestrianism Mixed Three-Day Event, Individual. | DIVIDE(COUNT(person_id where gender = 'F), COUNT(person_id)) as percentage where event_name = 'Equestrianism Mixed Three-Day Event, Individual'; | SELECT CAST(COUNT(CASE WHEN T1.gender = 'F' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.id) FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN competitor_event AS T3 ON T2.id = T3.competitor_id INNER JOIN event AS T4 ON T3.event_id = T4.id WHERE T4.event_name = 'Equestrianism Mixed Three-Day Event, Individual' | 6,580 | moderate |
works_cycles | How many married male employees were born before the year 1960? | married refers to MaritalStatus = 'M'; male refers to Gender = 'M'; BirthDate < = '1959-12-31'; | SELECT COUNT(BusinessEntityID) FROM Employee WHERE MaritalStatus = 'M' AND STRFTIME('%Y', BirthDate) < '1960' AND Gender = 'M' | 6,581 | simple |
talkingdata | Please list any three events that have the longitude and latitude of 0. | SELECT event_id FROM events WHERE longitude = 0 AND latitude = 0 LIMIT 3 | 6,582 | simple |
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music_platform_2 | Calculate the percentage of podcasts in the fiction-science-fiction category. | percentage = Divide (Count(podcast_id(category = 'fiction-science-fiction')), Count(podcast_id)) * 100 | SELECT CAST(SUM(CASE WHEN category = 'fiction-science-fiction' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(podcast_id) OR '%' "percentage" FROM categories | 6,583 | moderate |
retail_complains | For how long was the complaint filed by Matthew Pierce on 2016/10/28 delayed? | on 2016/10/28 refers to "Date received" = '2016-10-28'; delayed = SUBTRACT("Date sent to company', 'Date received"); | SELECT 365 * (strftime('%Y', T2.`Date sent to company`) - strftime('%Y', T2.`Date received`)) + 30 * (strftime('%M', T2.`Date sent to company`) - strftime('%M', T2.`Date received`)) + (strftime('%d', T2.`Date sent to company`) - strftime('%d', T2.`Date received`)) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Matthew' AND T1.last = 'Pierce' AND T2.`Date received` = '2016-10-28' | 6,584 | challenging |
simpson_episodes | What is the average number of stars received by the episode titled 'Wedding for Disaster.' | "Wedding for Disaster" is the title of episode; average number of stars = Divide(Sum(stars), Count(stars)) | SELECT AVG(T2.stars) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T1.title = 'Wedding for Disaster'; | 6,585 | simple |
cookbook | How many calories does the turkey tenderloin bundles recipe have? | turkey tenderloin refers to title | SELECT T2.calories FROM Recipe AS T1 INNER JOIN Nutrition AS T2 ON T1.recipe_id = T2.recipe_id WHERE T1.title = 'Turkey Tenderloin Bundles' | 6,586 | simple |
retail_complains | List all the complaints narratives made by the customer named Brenda and last name Mayer. | complaints narratives refers to "Consumer complaint narrative"; | SELECT T2.`Consumer complaint narrative` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Brenda' AND T1.last = 'Mayer' | 6,587 | simple |
student_loan | List out the number of students who have the longest duration of absense from school and enlisted in the peace corps. | longest duration of absence refers to MAX(month); peace corps refers to organ = 'peace_corps'; | SELECT COUNT(T1.NAME) FROM longest_absense_from_school AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name WHERE T2.organ = 'peace_corps' ORDER BY T1.month DESC LIMIT 1 | 6,588 | simple |
regional_sales | What is the name of the customer who purchased the product with the highest net profiit? | highest net profit = Max(Subtract (Unit Price, Unit Cost)); name of customer refers to Customer Names | SELECT `Customer Names` FROM ( SELECT T1.`Customer Names`, T2.`Unit Price` - T2.`Unit Cost` AS "net profit" FROM Customers T1 INNER JOIN `Sales Orders` T2 ON T2._CustomerID = T1.CustomerID ) ORDER BY `net profit` DESC LIMIT 1 | 6,589 | moderate |
world | Which country has the smallest surface area? | smallest surface area refers to MIN(smallest surface area); | SELECT Name FROM Country ORDER BY SurfaceArea ASC LIMIT 1 | 6,590 | simple |
cars | Provide the name, model, sweep volume, and introduced year of the car with the best crash protection. | car's name refers to car_name; sweep volume = divide(displacement, cylinders); introduced year refers to model_year; the best crash protection refers to max(weight) | SELECT T1.car_name, T1.model, T1.displacement / T1.cylinders, T2.model_year FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID ORDER BY T1.weight DESC LIMIT 1 | 6,591 | simple |
app_store | List the top 5 lowest rated puzzle games and count the number of negative sentiments the games received. | lowest rating refers to MIN(Rating); puzzle is the genre; | SELECT T1.App, COUNT(T1.App) COUNTNUMBER FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T2.Sentiment = 'Negative' GROUP BY T1.App ORDER BY T1.Rating LIMIT 5 | 6,592 | simple |
law_episode | What was the rating of the episodes that Jace Alexander worked on? | SELECT T1.rating FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T3.name = 'Jace Alexander' | 6,593 | simple |
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address | Provide the average elevation of the cities with alias Amherst. | AVG(elevation) where alias = 'Amherst'; | SELECT AVG(T2.elevation) FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.alias = 'Amherst' | 6,594 | simple |
movie_3 | How many films have a rental rate of 0.99? | SELECT COUNT(film_id) FROM film WHERE rental_rate = 0.99 | 6,595 | simple |
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chicago_crime | Which community area has the least population? | community area refers to community_area_name; the least population refers to min(population) | SELECT community_area_name FROM Community_Area ORDER BY population ASC LIMIT 1 | 6,596 | simple |
public_review_platform | Count the active businesses that has an attribute of caters with low review count. | active businesses refers to active = 'true'; attribute of caters refers to attribute_name = 'Caters' | SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Business_Attributes AS T2 ON T1.business_id = T2.business_id INNER JOIN Attributes AS T3 ON T2.attribute_id = T3.attribute_id WHERE T3.attribute_name LIKE 'Caters' AND T1.review_count LIKE 'Low' AND T1.active LIKE 'TRUE' | 6,597 | moderate |
language_corpus | What is the revision page ID of title "Aigua dolça"? | title "Aigua dolça" refers to title LIKE 'Aigua dolça%' | SELECT revision FROM pages WHERE title = 'Aigua dolça' | 6,598 | simple |