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216 | university | bird:train.json:8076 | Among the universities in Australia, how many of them have more than 15000 students in 2011? | SELECT COUNT(*) FROM university AS T1 INNER JOIN university_year AS T2 ON T1.id = T2.university_id INNER JOIN country AS T3 ON T3.id = T1.country_id WHERE T3.country_name = 'Australia' AND T2.year = 2011 AND T2.num_students > 15000 | [
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217 | law_episode | bird:train.json:1333 | List out all the credit names for episode 9. | SELECT T3.name 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 T1.episode = 9 | [
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218 | local_govt_mdm | spider:train_spider.json:2647 | What is the cmi cross reference id that is related to at least one council tax entry? List the cross reference id and source system code. | SELECT T1.cmi_cross_ref_id , T1.source_system_code FROM CMI_Cross_References AS T1 JOIN Council_Tax AS T2 ON T1.cmi_cross_ref_id = T2.cmi_cross_ref_id GROUP BY T1.cmi_cross_ref_id HAVING count(*) >= 1 | [
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219 | entertainment_awards | spider:train_spider.json:4614 | List the most common type of artworks. | SELECT TYPE FROM artwork GROUP BY TYPE ORDER BY COUNT(*) DESC LIMIT 1 | [
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220 | codebase_community | bird:dev.json:696 | Count the number of posts with a tag specified as 'careers'. | SELECT COUNT(Id) FROM tags WHERE TagName = 'careers' | [
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221 | election | spider:train_spider.json:2776 | Show the name of each party and the corresponding number of delegates from that party. | SELECT T2.Party , COUNT(*) FROM election AS T1 JOIN party AS T2 ON T1.Party = T2.Party_ID GROUP BY T1.Party | [
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222 | soccer_2016 | bird:train.json:1984 | How many matches are there in 2008? | SELECT COUNT(Match_Id) FROM `Match` WHERE Match_Date LIKE '2008%' | [
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223 | legislator | bird:train.json:4848 | Which legislators are woman? | SELECT first_name, last_name FROM historical WHERE gender_bio = 'F' | [
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224 | superstore | bird:train.json:2435 | How many orders purchased by Aaron Bergman have been delivered with the slowest shipping speed? | SELECT COUNT(*) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Aaron Bergman' AND T2.`Ship Mode` = 'Standard Class' | [
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225 | financial | bird:dev.json:164 | Who placed the order with the id 32423? | SELECT T3.client_id FROM `order` AS T1 INNER JOIN account AS T2 ON T1.account_id = T2.account_id INNER JOIN disp AS T4 ON T4.account_id = T2.account_id INNER JOIN client AS T3 ON T4.client_id = T3.client_id WHERE T1.order_id = 32423 | [
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226 | software_company | bird:train.json:8541 | In widowed male customers ages from 40 to 60, how many of them has an income ranges from 3000 and above? | SELECT COUNT(T1.ID) FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.age >= 40 AND T1.age <= 60 AND T1.MARITAL_STATUS = 'Widowed' AND T1.SEX = 'Male' AND T2.INCOME_K >= 2000 AND T2.INCOME_K <= 3000 | [
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227 | network_2 | spider:train_spider.json:4456 | Find the names of females who are friends with Zach | SELECT T1.name FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE T2.friend = 'Zach' AND T1.gender = 'female' | [
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228 | movie_2 | bird:test.json:1836 | What is the name of the film playing at the most number of theaters? | SELECT T1.title FROM movies AS T1 JOIN movietheaters AS T2 ON T1.code = T2.movie GROUP BY T1.title ORDER BY count(*) DESC LIMIT 1 | [
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229 | aan_1 | bird:test.json:1007 | Give the title of the paper which cites most number of papers? | SELECT T2.title FROM Citation AS T1 JOIN Paper AS T2 ON T2.paper_id = T1.paper_id GROUP BY T1.paper_id ORDER BY count(*) DESC LIMIT 1 | [
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230 | public_review_platform | bird:train.json:3920 | What is the review length of user 60776 to business with business ID 1? | SELECT review_length FROM Reviews WHERE user_id = 60776 AND business_id = 1 | [
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231 | college_1 | spider:train_spider.json:3243 | What is the first name of each student enrolled in class ACCT-211? | SELECT T3.stu_fname FROM CLASS AS T1 JOIN enroll AS T2 ON T1.class_code = T2.class_code JOIN student AS T3 ON T2.stu_num = T3.stu_num WHERE T1.crs_code = 'ACCT-211' | [
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232 | toxicology | bird:dev.json:289 | Is molecule TR151 carcinogenic? | SELECT T.label FROM molecule AS T WHERE T.molecule_id = 'TR151' | [
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233 | video_game | bird:test.json:1935 | What is the average units sold in millions of the games that are not developed by Nintendo? | SELECT avg(Units_sold_Millions) FROM game WHERE developers != 'Nintendo' | [
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234 | disney | bird:train.json:4672 | What is the highest grossing movie without a song? | SELECT T1.movie_title FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T2.movie_title = T1.movie_title WHERE T2.song IS NULL ORDER BY CAST(REPLACE(trim(T1.total_gross, '$'), ',', '') AS REAL) DESC LIMIT 1 | [
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235 | retail_world | bird:train.json:6478 | What is the full name of the Vice President of Sales. Give me the URL of his/her photo. | SELECT FirstName, LastName FROM Employees WHERE Title = 'Vice President, Sales' | [
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236 | movie_3 | bird:train.json:9150 | What is the description of the film Artist Coldblooded? | SELECT description FROM film WHERE title = 'ARTIST COLDBLOODED' | [
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237 | professional_basketball | bird:train.json:2813 | Which player, born in Winter Haven, played 12 minutes per season during the 1980s in the All-Stars? | SELECT DISTINCT T1.firstName, T1.middleName, T1.lastName FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T1.birthCity = 'Winter Haven' AND T2.season_id BETWEEN 1980 AND 1989 AND T2.minutes = 12 | [
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238 | hockey | bird:train.json:7665 | Among the coaches who have gotten in the Hall of Fame, how many of them have a weight of over 195? | SELECT COUNT(DISTINCT T1.coachID) FROM Master AS T1 INNER JOIN HOF AS T2 ON T1.hofID = T2.hofID WHERE T1.weight > 195 | [
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239 | movies_4 | bird:train.json:536 | What is the average ratio between female and male actors in a movie? | SELECT CAST(COUNT(CASE WHEN T2.gender = 'Female' THEN T1.person_id ELSE NULL END) AS REAL) / COUNT(CASE WHEN T2.gender = 'Male' THEN T1.person_id ELSE NULL END) FROM movie_cast AS T1 INNER JOIN gender AS T2 ON T1.gender_id = T2.gender_id | [
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240 | driving_school | spider:train_spider.json:6650 | How many staff live in state Georgia? | SELECT count(*) FROM Addresses WHERE state_province_county = "Georgia"; | [
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242 | public_review_platform | bird:train.json:4116 | How many businesses in the city of Scottsdale open on Sunday at 12PM? | SELECT COUNT(DISTINCT T2.business_id) FROM Business AS T1 INNER JOIN Business_hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city = 'Scottsdale' AND T3.day_of_week = 'Sunday' AND T2.opening_time = '12PM' | [
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243 | food_inspection_2 | bird:train.json:6241 | How many grocery stores paid $250 fine upon their inspection? | SELECT COUNT(DISTINCT T1.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no INNER JOIN violation AS T3 ON T2.inspection_id = T3.inspection_id WHERE T1.facility_type = 'Grocery Store' AND T3.fine = 250 | [
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244 | car_racing | bird:test.json:1632 | Find the countries in which there are both drivers with make "Dodge" and drivers with make "Chevrolet". | SELECT t2.country FROM driver AS t1 JOIN country AS t2 ON t1.country = t2.country_id WHERE t1.Make = "Dodge" INTERSECT SELECT t2.country FROM driver AS t1 JOIN country AS t2 ON t1.country = t2.country_id WHERE t1.Make = "Chevrolet" | [
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245 | candidate_poll | spider:train_spider.json:2429 | What are the names of all female candidates in alphabetical order (sex is F)? | SELECT t1.name FROM people AS t1 JOIN candidate AS t2 ON t1.people_id = t2.people_id WHERE t1.sex = 'F' ORDER BY t1.name | [
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246 | codebase_community | bird:dev.json:580 | Name 10 users with the badge name 'Necromancer.' | SELECT T1.DisplayName FROM users AS T1 INNER JOIN badges AS T2 ON T1.Id = T2.UserId WHERE T2.Name = 'Necromancer' LIMIT 10 | [
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247 | codebase_comments | bird:train.json:617 | Give the number of watchers that the repository of the solution No. 338082 have. | SELECT T1.Watchers FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T2.Id = 338082 | [
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248 | law_episode | bird:train.json:1310 | What role was Julia Roberts nominated for? | SELECT T2.role FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.Result = 'Nominee' AND T1.name = 'Julia Roberts' | [
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249 | music_2 | spider:train_spider.json:5197 | What is the last name of the musician who was in the most songs? | SELECT T2.lastname FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId GROUP BY lastname ORDER BY count(*) DESC LIMIT 1 | [
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250 | inn_1 | spider:train_spider.json:2590 | List the names and decor of rooms that have a king bed. Sort the list by their price. | SELECT roomName , decor FROM Rooms WHERE bedtype = 'King' ORDER BY basePrice; | [
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251 | donor | bird:train.json:3251 | Which school county in the state of New York has a high number of low poverty levels? | SELECT school_county FROM projects WHERE poverty_level = 'low poverty' AND school_state = 'NY' GROUP BY school_state ORDER BY COUNT(poverty_level) DESC LIMIT 1 | [
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252 | authors | bird:train.json:3547 | Describe the paper title, published year, conference's short name and included author names in the paper ID of 15. | SELECT DISTINCT T1.Title, T1.Year, T3.ShortName, T2.Name 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.Id = 15 | [
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253 | beer_factory | bird:train.json:5352 | How many transactions were made at Sac State Union? | SELECT COUNT(T1.TransactionID) FROM `transaction` AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.LocationName = 'Sac State Union' | [
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254 | swimming | spider:train_spider.json:5629 | Find the names of stadiums that the most swimmers have been to. | SELECT t3.name FROM record AS t1 JOIN event AS t2 ON t1.event_id = t2.id JOIN stadium AS t3 ON t3.id = t2.stadium_id GROUP BY t2.stadium_id ORDER BY count(*) DESC LIMIT 1 | [
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255 | machine_repair | spider:train_spider.json:2235 | List the names of technicians in ascending order of age. | SELECT Name FROM technician ORDER BY Age ASC | [
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256 | college_3 | spider:train_spider.json:4668 | What are the last names of faculty in building Barton, sorted by last name? | SELECT Lname FROM FACULTY WHERE Building = "Barton" ORDER BY Lname | [
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257 | software_company | bird:train.json:8583 | Describe the average income per month and yearly income of the geographic ID in which customer of ID "209556" and "290135". | SELECT T2.INCOME_K, T2.INHABITANTS_K * T2.INCOME_K * 12 FROM Customers AS T1 INNER JOIN Demog AS T2 ON T1.GEOID = T2.GEOID WHERE T1.ID = 209556 OR T1.ID = 290135 | [
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258 | card_games | bird:dev.json:503 | What was the expansion type for the set which card "Samite Pilgrim" in it? | SELECT type FROM sets WHERE code IN ( SELECT setCode FROM cards WHERE name = 'Samite Pilgrim' ) | [
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259 | world | bird:train.json:7897 | How many languages are there in the country where Tocantins district belongs? | SELECT COUNT(DISTINCT T2.Language) FROM City AS T1 INNER JOIN CountryLanguage AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.District = 'Tocantins' | [
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260 | chicago_crime | bird:train.json:8760 | Which alderman represents the ward with the most number of crimes in January, 2018? Please give his or her full name. | SELECT T1.ward_no, T1.alderman_first_name, T1.alderman_last_name, T1.alderman_name_suffix FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE SUBSTR(T2.date, 1, 1) = '1' AND SUBSTR(T2.date, 5, 4) = '2018' GROUP BY T1.ward_no ORDER BY COUNT(T1.ward_no) DESC LIMIT 1 | [
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261 | superhero | bird:dev.json:793 | Among the superheroes with the race of god/eternal, how many of them are male | SELECT COUNT(*) FROM superhero AS T1 INNER JOIN race AS T2 ON T1.race_id = T2.id INNER JOIN gender AS T3 ON T3.id = T1.gender_id WHERE T1.race_id = 21 AND T1.gender_id = 1 | [
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262 | retail_world | bird:train.json:6444 | What is the homepage link for the company that supplies the product "Thringer Rostbratwurst"? | SELECT T2.HomePage FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.ProductName = 'Thringer Rostbratwurst' | [
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263 | talkingdata | bird:train.json:1121 | Which group does age 24 belong to? | SELECT `group` FROM gender_age WHERE age = '24' | [
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264 | regional_sales | bird:train.json:2656 | Among the products sold in Maricopa County, which was the least sold? | SELECT T1.`Product Name` FROM Products AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._ProductID = T1.ProductID INNER JOIN `Store Locations` AS T3 ON T3.StoreID = T2._StoreID WHERE T3.County = 'Maricopa County' ORDER BY T2.`Order Quantity` ASC LIMIT 1 | [
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265 | video_games | bird:train.json:3478 | What are the genres of games published by the publisher with an ID of 464? | SELECT DISTINCT T2.genre_name FROM game AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.id INNER JOIN game_publisher AS T3 ON T1.id = T3.game_id WHERE T3.publisher_id = 464 | [
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266 | hockey | bird:train.json:7664 | Please list the awards won by coaches who taught the NHL League and have already died. | SELECT DISTINCT T2.award FROM Master AS T1 INNER JOIN AwardsCoaches AS T2 ON T1.coachID = T2.coachID WHERE T1.deathYear IS NOT NULL AND T2.lgID = 'NHL' | [
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267 | customers_and_invoices | spider:train_spider.json:1622 | What are teh names of the different products, as well as the number of customers who have ordered each product. | SELECT T2.product_name , count(*) FROM Order_items AS T1 JOIN Products AS T2 ON T1.product_id = T2.product_id JOIN Orders AS T3 ON T3.order_id = T1.order_id GROUP BY T2.product_name | [
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268 | workshop_paper | spider:train_spider.json:5824 | What is the author of the submission with the highest score? | SELECT Author FROM submission ORDER BY Scores DESC LIMIT 1 | [
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269 | works_cycles | bird:train.json:7071 | Please give the personal information of the married employee who has the highest pay rate. | SELECT T2.Demographics FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN EmployeePayHistory AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID WHERE T1.MaritalStatus = 'M' ORDER BY T3.Rate DESC LIMIT 1 | [
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270 | thrombosis_prediction | bird:dev.json:1311 | How many patients with severe thrombosis have a normal prothrombin time? | SELECT COUNT(T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID INNER JOIN Examination AS T3 ON T1.ID = T3.ID WHERE T2.PT < 14 AND T3.Thrombosis < 3 AND T3.Thrombosis > 0 | [
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{
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... | [
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271 | advertising_agencies | bird:test.json:2134 | What is the staff id of the staff who attended the least meetings but attended some meeting? | SELECT staff_id , count(*) FROM Staff_in_meetings GROUP BY staff_id ORDER BY count(*) ASC LIMIT 1; | [
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272 | authors | bird:train.json:3526 | What is the short name and full name of conference uses the homepage "http://www.informatik.uni-trier.de/~ley/db/conf/ices/index.html"? | SELECT ShortName, FullName FROM Conference WHERE HomePage = 'http://www.informatik.uni-trier.de/~ley/db/conf/ices/index.html' | [
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273 | tracking_orders | spider:train_spider.json:6929 | What is the id of the order which has the most items? | SELECT T1.order_id FROM orders AS T1 JOIN order_items AS T2 ON T1.order_id = T2.order_id GROUP BY T1.order_id ORDER BY count(*) DESC LIMIT 1 | [
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274 | soccer_2016 | bird:train.json:1835 | When did Chennai Super Kings play its first match? | SELECT Match_Date FROM `Match` WHERE team_1 = ( SELECT Team_Id FROM Team WHERE Team_Name = 'Chennai Super Kings' ) OR Team_2 = ( SELECT Team_Id FROM Team WHERE Team_Name = 'Chennai Super Kings' ) ORDER BY Match_Date ASC LIMIT 1 | [
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275 | college_2 | spider:train_spider.json:1357 | Count the number of rooms in Lamberton with capacity lower than 50. | SELECT count(*) FROM classroom WHERE building = 'Lamberton' AND capacity < 50 | [
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276 | baseball_1 | spider:train_spider.json:3646 | Show me the number of parks the state of NY has. | SELECT count(*) FROM park WHERE state = 'NY'; | [
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277 | toxicology | bird:dev.json:322 | What is the element of toxicology for the atom with the ID of TR000_1? | SELECT T.element FROM atom AS T WHERE T.atom_id = 'TR000_1' | [
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278 | talkingdata | bird:train.json:1042 | How many female users over the age of 50 are there? | SELECT COUNT(gender) FROM gender_age WHERE age > 50 AND gender = 'F' | [
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279 | company_office | spider:train_spider.json:4582 | Which headquarter locations are used by more than 2 companies? | SELECT Headquarters FROM Companies GROUP BY Headquarters HAVING COUNT(*) > 2 | [
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280 | store_product | spider:train_spider.json:4936 | Find the most prominent max page size among all the products. | SELECT max_page_size FROM product GROUP BY max_page_size ORDER BY count(*) DESC LIMIT 1 | [
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281 | computer_student | bird:train.json:982 | Which are the courses with the most number of professors? State the course ID and the level of the course. | SELECT T1.course_id, T1.courseLevel FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id GROUP BY T1.course_id, T1.courseLevel ORDER BY COUNT(T1.course_id) DESC LIMIT 1 | [
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282 | program_share | spider:train_spider.json:3730 | List all channel names ordered by their rating in percent from big to small. | SELECT name FROM channel ORDER BY rating_in_percent DESC | [
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283 | formula_1 | spider:train_spider.json:2219 | What is the average fastest lap speed in race named 'Monaco Grand Prix' in 2008 ? | SELECT avg(T2.fastestlapspeed) FROM races AS T1 JOIN results AS T2 ON T1.raceid = T2.raceid WHERE T1.year = 2008 AND T1.name = "Monaco Grand Prix" | [
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284 | student_club | bird:dev.json:1453 | List the name of events with less than average parking cost. | SELECT T1.event_name FROM event AS T1 INNER JOIN budget AS T2 ON T1.event_id = T2.link_to_event INNER JOIN expense AS T3 ON T2.budget_id = T3.link_to_budget WHERE T2.category = 'Parking' AND T3.cost < (SELECT AVG(cost) FROM expense) | [
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285 | hockey | bird:train.json:7792 | For the goalie whose last name is "Young", how many teams did he play in? | SELECT COUNT(DISTINCT T1.tmID) FROM Goalies AS T1 INNER JOIN Master AS T2 ON T1.playerID = T2.playerID WHERE T2.lastName = 'Young' | [
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286 | university_rank | bird:test.json:1775 | Which conference has the least number of total enrollment? | SELECT home_conference FROM University GROUP BY home_conference ORDER BY sum(enrollment) LIMIT 1 | [
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287 | art_1 | bird:test.json:1305 | Which artists have the most paintings in oil? | SELECT T1.lname , T1.fname FROM artists AS T1 JOIN paintings AS T2 ON T1.artistID = T2.painterID WHERE T2.medium = "oil" GROUP BY T2.painterID ORDER BY count(*) DESC LIMIT 3 | [
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{
"id": 3,
"type": "table",
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288 | retail_complains | bird:train.json:377 | What is the oldest age of male clients? | SELECT MAX(age) FROM client WHERE sex = 'Male' | [
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{
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{
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289 | retail_complains | bird:train.json:357 | Which product received the most complaints from elder clients? | SELECT T2.Product FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.age > 65 ORDER BY T1.client_id DESC LIMIT 1 | [
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290 | planet_1 | bird:test.json:1889 | List all Planets' names and coordinates in alphabetical order of name. | SELECT Name , Coordinates FROM Planet ORDER BY Name | [
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291 | car_racing | bird:test.json:1623 | List each make with the number of drivers with that make. | SELECT Make , COUNT(*) FROM driver GROUP BY Make | [
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292 | movie_1 | spider:train_spider.json:2473 | What is the reviewer name, film title, movie rating, and rating date for every movie ordered by reviewer name, movie title, then finally rating? | SELECT T3.name , T2.title , T1.stars , T1.ratingDate FROM Rating AS T1 JOIN Movie AS T2 ON T1.mID = T2.mID JOIN Reviewer AS T3 ON T1.rID = T3.rID ORDER BY T3.name , T2.title , T1.stars | [
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293 | e_learning | spider:train_spider.json:3843 | Which students not enrolled in any course? Find their personal names. | SELECT personal_name FROM Students EXCEPT SELECT T1.personal_name FROM Students AS T1 JOIN Student_Course_Enrolment AS T2 ON T1.student_id = T2.student_id | [
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294 | image_and_language | bird:train.json:7539 | On image no. 20, identify the attribute ID that is composed of the highest number of objects. | SELECT ATT_CLASS_ID FROM IMG_OBJ_ATT WHERE IMG_ID = 20 GROUP BY ATT_CLASS_ID ORDER BY COUNT(ATT_CLASS_ID) DESC LIMIT 1 | [
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295 | tracking_share_transactions | spider:train_spider.json:5880 | Show the ids of the investors who have at least two transactions. | SELECT T2.investor_id FROM INVESTORS AS T1 JOIN TRANSACTIONS AS T2 ON T1.investor_id = T2.investor_id GROUP BY T2.investor_id HAVING COUNT(*) >= 2 | [
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296 | student_loan | bird:train.json:4371 | Among the students that have been absent from school for more than 5 months, how many of them are male? | SELECT COUNT(T1.name) FROM longest_absense_from_school AS T1 INNER JOIN male AS T2 ON T1.`name` = T2.`name` WHERE T1.`month` >= 5 | [
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297 | formula_1 | bird:dev.json:1002 | As of the present, what is the full name of the youngest racer? Indicate her nationality and the name of the race to which he/she first joined. | SELECT T1.forename, T1.surname, T1.nationality, T3.name FROM drivers AS T1 INNER JOIN driverStandings AS T2 on T1.driverId = T2.driverId INNER JOIN races AS T3 on T2.raceId = T3.raceId ORDER BY JULIANDAY(T1.dob) DESC LIMIT 1 | [
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298 | world_development_indicators | bird:train.json:2234 | What's the long name of the country that got 3000000 on the indicator Arms exports in 1960? | SELECT T1.LongName FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T2.IndicatorName = 'Arms exports (SIPRI trend indicator values)' AND T2.Year = 1960 AND T2.Value = 3000000 | [
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299 | match_season | spider:train_spider.json:1054 | Show the country name and capital of all countries. | SELECT Country_name , Capital FROM country | [
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300 | retail_world | bird:train.json:6662 | Among the employees who handled orders to Brazil, who has the highest salary and calculate the average salary of them. | SELECT T1.FirstName, T1.LastName, AVG(T1.Salary) FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T2.ShipCountry = 'Brazil' GROUP BY T1.FirstName, T1.LastName ORDER BY SUM(T1.Salary) DESC LIMIT 1 | [
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301 | college_2 | spider:train_spider.json:1392 | Find the number of rooms with more than 50 capacity for each building. | SELECT count(*) , building FROM classroom WHERE capacity > 50 GROUP BY building | [
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302 | art_1 | bird:test.json:1255 | What are the distinct titles of every painting that has a greater height than some painting on canvas? | SELECT DISTINCT title FROM paintings WHERE height_mm > (SELECT min(height_mm) FROM paintings WHERE mediumOn = "canvas") | [
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303 | menu | bird:train.json:5576 | How much space does page 1 of the menu "Zentral Theater Terrace" cover? | SELECT T2.full_height * T2.full_width FROM Menu AS T1 INNER JOIN MenuPage AS T2 ON T1.id = T2.menu_id WHERE T1.name = 'Zentral Theater Terrace' AND T2.page_number = 1 | [
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304 | aan_1 | bird:test.json:997 | What is the venue and year with the most number of publications? | SELECT venue , YEAR FROM paper GROUP BY venue , YEAR ORDER BY count(*) DESC LIMIT 1 | [
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305 | retail_world | bird:train.json:6472 | What is the contact title for the person who supplied a product that is 10 boxes x 12 pieces. | SELECT T2.ContactTitle FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T1.QuantityPerUnit = '10 boxes x 12 pieces' | [
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306 | books | bird:train.json:5945 | What is the full name of the customer who owns the "aalleburtonkc@yellowbook.com" e-mail address? | SELECT first_name, last_name FROM customer WHERE email = 'aalleburtonkc@yellowbook.com' | [
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{
"id": 2,
"type": "column",
"value": "last_name"
},
{
"id": 0,
"type": "table",
"value": "customer"
},
{
"id": 3,
"typ... | [
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
4
]
},
{
"entity_id": 3,
"token_idxs": [
14,
15,
16
]
},
{
"entity_id": 4,
"token_idxs": [
12
]... | [
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"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-VALUE",
"O",
"B-COLUMN",
"I-COLUMN",
"I-COLUMN",
"O",
"O"
] |
307 | thrombosis_prediction | bird:dev.json:1187 | How many patients who were examined between 1987/7/6 and 1996/1/31 had a GPT level greater than 30 and an ALB level less than 4? List them by their ID. | SELECT DISTINCT ID FROM Laboratory WHERE Date BETWEEN '1987-07-06' AND '1996-01-31' AND GPT > 30 AND ALB < 4 | [
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"many",
"patients",
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] | [
{
"id": 0,
"type": "table",
"value": "laboratory"
},
{
"id": 3,
"type": "value",
"value": "1987-07-06"
},
{
"id": 4,
"type": "value",
"value": "1996-01-31"
},
{
"id": 2,
"type": "column",
"value": "date"
},
{
"id": 5,
"type": "column",
"val... | [
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"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
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},
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},
{
"entity_id": 3,
"token_idxs": [
7
]
},
{
"entity_id": 4,
"token_idxs": [
9
]
},
{
"entity_id": 5,
... | [
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"O",
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"O",
"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
308 | retail_world | bird:train.json:6599 | Which of Cooperativa de Quesos 'Las Cabras' products have a unit price greater than 20? | SELECT T1.ProductName FROM Products AS T1 INNER JOIN Suppliers AS T2 ON T1.SupplierID = T2.SupplierID WHERE T2.CompanyName LIKE 'Cooperativa de Quesos%' AND T1.UnitPrice > 20 | [
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"'",
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"?"
] | [
{
"id": 5,
"type": "value",
"value": "Cooperativa de Quesos%"
},
{
"id": 0,
"type": "column",
"value": "productname"
},
{
"id": 4,
"type": "column",
"value": "companyname"
},
{
"id": 3,
"type": "column",
"value": "supplierid"
},
{
"id": 2,
"typ... | [
{
"entity_id": 0,
"token_idxs": [
10
]
},
{
"entity_id": 1,
"token_idxs": [
9
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs":... | [
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"O",
"B-VALUE",
"I-VALUE",
"I-VALUE",
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"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-COLUMN",
"I-COLUMN",
"O",
"O",
"B-VALUE",
"O"
] |
309 | cre_Doc_Tracking_DB | spider:train_spider.json:4165 | How many document types are there? | SELECT count(*) FROM Ref_document_types | [
"How",
"many",
"document",
"types",
"are",
"there",
"?"
] | [
{
"id": 0,
"type": "table",
"value": "ref_document_types"
}
] | [
{
"entity_id": 0,
"token_idxs": [
2,
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
... | [
"O",
"O",
"B-TABLE",
"I-TABLE",
"O",
"O",
"O"
] |
310 | movie_3 | bird:train.json:9213 | Write down any five film names under the documentary 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 = 'Documentary' LIMIT 5 | [
"Write",
"down",
"any",
"five",
"film",
"names",
"under",
"the",
"documentary",
"category",
"."
] | [
{
"id": 5,
"type": "table",
"value": "film_category"
},
{
"id": 3,
"type": "value",
"value": "Documentary"
},
{
"id": 6,
"type": "column",
"value": "category_id"
},
{
"id": 1,
"type": "table",
"value": "category"
},
{
"id": 7,
"type": "column",... | [
{
"entity_id": 0,
"token_idxs": [
0
]
},
{
"entity_id": 1,
"token_idxs": [
9
]
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": [
8
]
},
{
"entity_id": 4,
"token_idxs": [
4
]
},
{... | [
"B-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"B-TABLE",
"O"
] |
311 | regional_sales | bird:train.json:2718 | How many online orders were shipped during the month of June 2018? | SELECT SUM(IIF(ShipDate LIKE '6/%/18' AND `Sales Channel` = 'Online', 1, 0)) FROM `Sales Orders` | [
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"many",
"online",
"orders",
"were",
"shipped",
"during",
"the",
"month",
"of",
"June",
"2018",
"?"
] | [
{
"id": 5,
"type": "column",
"value": "Sales Channel"
},
{
"id": 0,
"type": "table",
"value": "Sales Orders"
},
{
"id": 3,
"type": "column",
"value": "shipdate"
},
{
"id": 4,
"type": "value",
"value": "6/%/18"
},
{
"id": 6,
"type": "value",
... | [
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
5
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": ... | [
"O",
"O",
"B-VALUE",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
312 | customers_and_invoices | spider:train_spider.json:1597 | Show all product colors. | SELECT DISTINCT product_color FROM Products | [
"Show",
"all",
"product",
"colors",
"."
] | [
{
"id": 1,
"type": "column",
"value": "product_color"
},
{
"id": 0,
"type": "table",
"value": "products"
}
] | [
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"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",
"B-TABLE",
"B-COLUMN",
"O"
] |
313 | law_episode | bird:train.json:1256 | Please list the titles of all the episodes in which Park Dietz was credited. | SELECT T1.title 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 T2.credited = 'true' AND T3.name = 'Park Dietz' | [
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"list",
"the",
"titles",
"of",
"all",
"the",
"episodes",
"in",
"which",
"Park",
"Dietz",
"was",
"credited",
"."
] | [
{
"id": 8,
"type": "value",
"value": "Park Dietz"
},
{
"id": 9,
"type": "column",
"value": "episode_id"
},
{
"id": 4,
"type": "column",
"value": "person_id"
},
{
"id": 5,
"type": "column",
"value": "credited"
},
{
"id": 2,
"type": "table",
... | [
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
7
]
},
{
"entity_id": 3,
"token_idxs": [
13
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
... | [
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-VALUE",
"I-VALUE",
"O",
"B-TABLE",
"O"
] |
314 | regional_sales | bird:train.json:2640 | Please list the names of customers who have total orders of over 3 in 2018. | SELECT DISTINCT IIF(COUNT(T2.CustomerID) > 3, T2.`Customer Names`, NULL) FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID WHERE T1.OrderDate LIKE '%/%/18' GROUP BY T1._CustomerID HAVING COUNT(T2.CustomerID) | [
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"list",
"the",
"names",
"of",
"customers",
"who",
"have",
"total",
"orders",
"of",
"over",
"3",
"in",
"2018",
"."
] | [
{
"id": 6,
"type": "column",
"value": "Customer Names"
},
{
"id": 1,
"type": "table",
"value": "Sales Orders"
},
{
"id": 0,
"type": "column",
"value": "_customerid"
},
{
"id": 5,
"type": "column",
"value": "customerid"
},
{
"id": 2,
"type": "ta... | [
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
8
]
},
{
"entity_id": 2,
"token_idxs": [
5
]
},
{
"entity_id": 3,
"token_idxs": [
9
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"... | [
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O",
"O",
"O"
] |
315 | simpson_episodes | bird:train.json:4318 | Calculate the total votes of episodes that Adam Kuhlman had involved. | SELECT SUM(T1.votes) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T2.person = 'Adam Kuhlman'; | [
"Calculate",
"the",
"total",
"votes",
"of",
"episodes",
"that",
"Adam",
"Kuhlman",
"had",
"involved",
"."
] | [
{
"id": 3,
"type": "value",
"value": "Adam Kuhlman"
},
{
"id": 5,
"type": "column",
"value": "episode_id"
},
{
"id": 0,
"type": "table",
"value": "episode"
},
{
"id": 1,
"type": "table",
"value": "credit"
},
{
"id": 2,
"type": "column",
"va... | [
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
7,
8
]
},
{
"entity_id": 4,
"token_idxs": [
3
]
},
{
"entity_id":... | [
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"B-VALUE",
"I-VALUE",
"O",
"O",
"O"
] |
316 | regional_sales | bird:train.json:2652 | How many orders made by Rochester Ltd? | SELECT SUM(CASE WHEN T1.`Customer Names` = 'Rochester Ltd' THEN 1 ELSE 0 END) FROM Customers AS T1 INNER JOIN `Sales Orders` AS T2 ON T2._CustomerID = T1.CustomerID | [
"How",
"many",
"orders",
"made",
"by",
"Rochester",
"Ltd",
"?"
] | [
{
"id": 6,
"type": "column",
"value": "Customer Names"
},
{
"id": 7,
"type": "value",
"value": "Rochester Ltd"
},
{
"id": 1,
"type": "table",
"value": "Sales Orders"
},
{
"id": 2,
"type": "column",
"value": "_customerid"
},
{
"id": 3,
"type": "... | [
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
1,
2
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
... | [
"O",
"B-TABLE",
"I-TABLE",
"O",
"O",
"B-VALUE",
"I-VALUE",
"O"
] |
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