question_id int64 0 16.1k | db_id stringclasses 259
values | dber_id stringlengths 15 29 | question stringlengths 16 325 | SQL stringlengths 18 1.25k | tokens listlengths 4 62 | entities listlengths 0 21 | entity_to_token listlengths 20 20 | dber_tags listlengths 4 62 |
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13,479 | book_1 | bird:test.json:549 | What is the name of the client with the most number of orders? | SELECT T2.name FROM Orders AS T1 JOIN Client AS T2 ON T1.idClient = T2.idClient GROUP BY T1.idClient ORDER BY count(*) DESC LIMIT 1 | [
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13,480 | legislator | bird:train.json:4912 | Among the female legislators, what is the percentage of the senators in Maine? | SELECT CAST(SUM(CASE WHEN T2.type = 'sen' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.type) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.state = 'ME' AND T1.gender_bio = 'F' | [
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13,481 | icfp_1 | spider:train_spider.json:2898 | What is the last name of the author that has published the most papers? | SELECT t1.lname FROM authors AS t1 JOIN authorship AS t2 ON t1.authid = t2.authid JOIN papers AS t3 ON t2.paperid = t3.paperid GROUP BY t1.fname , t1.lname ORDER BY count(*) DESC LIMIT 1 | [
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13,482 | sales | bird:train.json:5463 | What is the average price of products that cost between 100 and 200? | SELECT AVG(Price) FROM Products WHERE Price BETWEEN 100 AND 200 | [
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13,483 | menu | bird:train.json:5482 | Which dish has the highest price on the menu "Zentral Theater Terrace"? Please give its name. | SELECT T4.name FROM MenuItem AS T1 INNER JOIN MenuPage AS T2 ON T1.menu_page_id = T2.id INNER JOIN Menu AS T3 ON T2.menu_id = T3.id INNER JOIN Dish AS T4 ON T1.dish_id = T4.id WHERE T3.name = 'Zentral Theater Terrace' ORDER BY T1.price DESC LIMIT 1 | [
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13,484 | wedding | spider:train_spider.json:1643 | Show all church names that have hosted least two weddings. | SELECT T1.name FROM church AS T1 JOIN wedding AS T2 ON T1.church_id = T2.church_id GROUP BY T1.church_id HAVING count(*) >= 2 | [
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13,485 | vehicle_rent | bird:test.json:436 | What are the names and powertrain types of cars that have more than 30 total rental hours? | SELECT T2.name , T2.Type_of_powertrain FROM renting_history AS T1 JOIN vehicles AS T2 ON T1.vehicles_id = T2.id GROUP BY T1.vehicles_id HAVING sum(T1.total_hours) > 30 | [
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13,486 | public_review_platform | bird:train.json:3828 | Please state any three business numbers in AZ state that have received the "Great experience" review stars. | SELECT DISTINCT T2.business_id FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T2.state LIKE 'AZ' AND T1.review_stars = 5 LIMIT 3 | [
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13,487 | online_exams | bird:test.json:228 | Which student answer texts were given both "Normal" and "Absent" as comments? | SELECT Student_Answer_Text FROM Student_Answers WHERE Comments = "Normal" INTERSECT SELECT Student_Answer_Text FROM Student_Answers WHERE Comments = "Absent" | [
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13,488 | disney | bird:train.json:4697 | Among the movies released from 1991 to 2000, calculate the percentage of comedy movies. Provide any five movie titles and directors. | SELECT CAST(COUNT(CASE WHEN T1.genre = 'Comedy' THEN T1.movie_title ELSE NULL END) AS REAL) * 100 / COUNT(T1.movie_title), group_concat(T1.movie_title), group_concat(T2.director) FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE SUBSTR(T1.release_date, LENGTH(T1.release_date) - 3... | [
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13,489 | cre_Doc_Tracking_DB | spider:train_spider.json:4238 | Show the employee ids and the number of documents destroyed by each employee. | SELECT Destroyed_by_Employee_ID , count(*) FROM Documents_to_be_destroyed GROUP BY Destroyed_by_Employee_ID | [
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13,490 | olympics | bird:train.json:4987 | Which region is Yao Ming from? | SELECT T1.region_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'Yao Ming' | [
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13,491 | disney | bird:train.json:4650 | Who is the most productive director? | SELECT director FROM director GROUP BY director ORDER BY COUNT(name) DESC LIMIT 1 | [
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13,492 | formula_1 | bird:dev.json:860 | For the driver who had the Q2 time as 0:01:40 in the qualifying race No. 355, what is his nationality? | SELECT DISTINCT T2.nationality FROM qualifying AS T1 INNER JOIN drivers AS T2 ON T2.driverId = T1.driverId WHERE T1.raceId = 355 AND T1.q2 LIKE '1:40%' | [
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13,493 | retails | bird:train.json:6796 | How many products shipped on 19/11/1994 were ordered on 21/09/1994? | SELECT COUNT(T2.l_partkey) FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey WHERE T1.o_orderdate = '1994-09-21' AND T2.l_shipdate = '1994-11-19' | [
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13,494 | language_corpus | bird:train.json:5808 | How many Wikipedia pages with over 4000 different words are there on the Catalan language? | SELECT COUNT(lid) FROM pages WHERE lid = 1 AND words > 4000 | [
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13,495 | sales | bird:train.json:5410 | Name the most expensive and the least expensive products available, excluding free gifts. | SELECT Name FROM Products WHERE Price IN (( SELECT MAX(Price) FROM Products ), ( SELECT MIN(Price) FROM Products )) | [
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13,496 | mondial_geo | bird:train.json:8333 | Name all the volcano mountains between the height of 2000 to 4000. | SELECT Name FROM mountain WHERE Type = 'volcano' AND Height BETWEEN 2000 AND 4000 | [
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13,497 | professional_basketball | bird:train.json:2800 | What is the percentage of the teams who had post season (playoff) were ranked number 1? | SELECT CAST(SUM(CASE WHEN rank = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(name) FROM teams | [
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13,498 | card_games | bird:dev.json:408 | How many unknown power cards contain info about the triggered ability | SELECT T2.text FROM cards AS T1 INNER JOIN rulings AS T2 ON T1.uuid = T2.uuid WHERE (T1.power IS NULL OR T1.power = '*') AND T2.text LIKE '%triggered ability%' | [
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13,499 | formula_1 | bird:dev.json:904 | State the race and year of race in which Michael Schumacher had his fastest lap. | SELECT T1.name, T1.year FROM races AS T1 INNER JOIN lapTimes AS T2 ON T2.raceId = T1.raceId INNER JOIN drivers AS T3 ON T3.driverId = T2.driverId WHERE T3.forename = 'Michael' AND T3.surname = 'Schumacher' ORDER BY T2.milliseconds ASC LIMIT 1 | [
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13,500 | gymnast | spider:train_spider.json:1766 | List the names of gymnasts in ascending order by their heights. | SELECT T2.Name FROM gymnast AS T1 JOIN people AS T2 ON T1.Gymnast_ID = T2.People_ID ORDER BY T2.Height ASC | [
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13,501 | news_report | spider:train_spider.json:2816 | List the names of journalists who have not reported any event. | SELECT Name FROM journalist WHERE journalist_ID NOT IN (SELECT journalist_ID FROM news_report) | [
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13,502 | hockey | bird:train.json:7815 | What are the total weights of players for team 'ANA' as per year 1997? | SELECT SUM(T1.weight) FROM Master AS T1 INNER JOIN Scoring AS T2 ON T1.playerID = T2.playerID WHERE T2.year = 1997 AND T2.tmID = 'ANA' | [
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13,503 | student_loan | bird:train.json:4378 | What is the longest time for a student from the navy department to be absent from school? | SELECT T1.month FROM longest_absense_from_school AS T1 INNER JOIN enlist AS T2 ON T1.`name` = T2.`name` WHERE T2.organ = 'navy' ORDER BY T1.`month` DESC LIMIT 1 | [
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13,504 | cookbook | bird:train.json:8921 | What is the average vitamin C amount of all cakes? | SELECT AVG(T1.vitamin_c) FROM Nutrition AS T1 INNER JOIN Recipe AS T2 ON T2.recipe_id = T1.recipe_id WHERE T2.title LIKE '%cake%' | [
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13,505 | retails | bird:train.json:6716 | Among the customers from the United States, which market segment has the highest number of customers? | SELECT T.c_mktsegment FROM ( SELECT T1.c_mktsegment, COUNT(T1.c_custkey) AS num FROM customer AS T1 INNER JOIN nation AS T2 ON T1.c_nationkey = T2.n_nationkey WHERE T2.n_name = 'UNITED STATES' GROUP BY T1.c_mktsegment ) AS T ORDER BY T.num DESC LIMIT 1 | [
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13,506 | movielens | bird:train.json:2261 | What is the ID of audiences that gave the most rating of 5? | SELECT userid FROM u2base WHERE rating = 5 GROUP BY userid ORDER BY COUNT(movieid) DESC LIMIT 1 | [
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13,507 | works_cycles | bird:train.json:7429 | How many products from the Clothing category were on the LL Road Frame Sale? | SELECT COUNT(T2.ProductID) FROM SpecialOffer AS T1 INNER JOIN SpecialOfferProduct AS T2 ON T1.SpecialOfferID = T2.SpecialOfferID INNER JOIN Product AS T3 ON T2.ProductID = T3.ProductID INNER JOIN ProductSubcategory AS T4 ON T3.ProductSubcategoryID = T4.ProductSubcategoryID INNER JOIN ProductCategory AS T5 ON T4.Product... | [
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13,508 | movie_3 | bird:train.json:9302 | How many films in English are for adults only? | SELECT COUNT(T1.film_id) FROM film AS T1 INNER JOIN language AS T2 ON T1.language_id = T2.language_id WHERE T2.name = 'English' AND T1.rating = 'NC-17' | [
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13,509 | pilot_1 | bird:test.json:1128 | Count the number of planes Smith owns. | SELECT count(plane_name) FROM pilotskills WHERE pilot_name = 'Smith' | [
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13,510 | book_2 | spider:train_spider.json:228 | List the writers who have written more than one book. | SELECT Writer FROM book GROUP BY Writer HAVING COUNT(*) > 1 | [
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13,511 | soccer_2016 | bird:train.json:2007 | How old is SC Ganguly in 2008? | SELECT 2008 - strftime('%Y', DOB) FROM Player WHERE Player_Name = 'SC Ganguly' | [
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13,512 | book_publishing_company | bird:train.json:193 | List all the titles and year to date sales by author who are not on contract. | SELECT T1.title_id, T1.ytd_sales FROM titles AS T1 INNER JOIN titleauthor AS T2 ON T1.title_id = T2.title_id INNER JOIN authors AS T3 ON T2.au_id = T3.au_id WHERE T3.contract = 0 | [
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13,513 | restaurant_1 | spider:train_spider.json:2841 | Which student visited restaurant most often? List student's first name and last name. | SELECT Student.Fname , Student.Lname FROM Student JOIN Visits_Restaurant ON Student.StuID = Visits_Restaurant.StuID GROUP BY Student.StuID ORDER BY count(*) DESC LIMIT 1; | [
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13,514 | conference | bird:test.json:1054 | What is the total number of conferences? | SELECT count(*) FROM conference | [
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13,515 | chicago_crime | bird:train.json:8770 | Please list the blocks where all the incidents in the district commanded by Robert A. Rubio took place. | SELECT T2.block FROM District AS T1 INNER JOIN Crime AS T2 ON T1.district_no = T2.district_no WHERE T1.commander = 'Robert A. Rubio' | [
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13,516 | manufactory_1 | spider:train_spider.json:5338 | Select all the data from the products and each product's manufacturer. | SELECT * FROM products AS T1 JOIN Manufacturers AS T2 ON T1.manufacturer = T2.code | [
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13,517 | movie | bird:train.json:771 | Find the actor's name that played as Don Altobello in a drama movie that has a gross of 136766062. | SELECT T3.Name FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T1.Gross = 136766062 AND T2.`Character Name` = 'Don Altobello' AND T1.Genre = 'Drama' | [
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13,518 | thrombosis_prediction | bird:dev.json:1159 | For patient with albumin level lower than 3.5, list their ID, sex and diagnosis. | SELECT DISTINCT T1.ID, T1.SEX, T1.Diagnosis FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.ALB < 3.5 | [
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13,519 | debate | spider:train_spider.json:1504 | Show the names of people and the number of times they have been on the affirmative side of debates. | SELECT T2.Name , COUNT(*) FROM debate_people AS T1 JOIN people AS T2 ON T1.Affirmative = T2.People_ID GROUP BY T2.Name | [
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13,520 | e_commerce | bird:test.json:72 | List all the distinct product names, price and descriptions which are bought by female customers. | SELECT DISTINCT T1.product_name , T1.product_price , T1.product_description FROM Products AS T1 JOIN Order_items AS T2 ON T1.product_id = T2.product_id JOIN Orders AS T3 ON T2.order_id = T3.order_id JOIN Customers AS T4 ON T3.customer_id = T4.customer_id WHERE T4.gender_code = 'Female' | [
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13,521 | hospital_1 | spider:train_spider.json:3906 | what are name and phone number of patients who had more than one appointment? | SELECT name , phone FROM appointment AS T1 JOIN patient AS T2 ON T1.patient = T2.ssn GROUP BY T1.patient HAVING count(*) > 1 | [
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13,522 | music_1 | spider:train_spider.json:3605 | Find the names and number of works of all artists who have at least one English songs. | SELECT T1.artist_name , count(*) FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T2.languages = "english" GROUP BY T2.artist_name HAVING count(*) >= 1 | [
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13,523 | workshop_paper | spider:train_spider.json:5827 | For each college, return the college name and the count of authors with submissions from that college. | SELECT College , COUNT(*) FROM submission GROUP BY College | [
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13,524 | planet_1 | bird:test.json:1870 | What are all of the package numbers received by Leo Wong? | SELECT T1.PackageNumber FROM PACKAGE AS T1 JOIN Client AS T2 ON T1.Recipient = T2.AccountNumber WHERE T2.Name = "Leo Wong"; | [
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13,525 | codebase_community | bird:dev.json:660 | What is the owner user id of the most valuable post? | SELECT OwnerUserId FROM posts WHERE FavoriteCount = ( SELECT MAX(FavoriteCount) FROM posts ) | [
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13,526 | cre_Theme_park | spider:train_spider.json:5948 | Which attraction type does the most tourist attractions belong to? Tell me its attraction type description and code. | SELECT T1.Attraction_Type_Description , T2.Attraction_Type_Code FROM Ref_Attraction_Types AS T1 JOIN Tourist_Attractions AS T2 ON T1.Attraction_Type_Code = T2.Attraction_Type_Code GROUP BY T2.Attraction_Type_Code ORDER BY COUNT(*) DESC LIMIT 1 | [
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13,527 | retail_world | bird:train.json:6317 | What is the total price of Ikura ordered in order no. 10273? | SELECT T2.UnitPrice * T2.Quantity FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T2.OrderID = 10273 AND T1.ProductName = 'Ikura' | [
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13,528 | chinook_1 | spider:train_spider.json:889 | What are the album titles for albums containing both 'Reggae' and 'Rock' genre tracks? | SELECT T1.Title FROM Album AS T1 JOIN Track AS T2 ON T1.AlbumId = T2.AlbumId JOIN Genre AS T3 ON T2.GenreID = T3.GenreID WHERE T3.Name = 'Reggae' INTERSECT SELECT T1.Title FROM Album AS T1 JOIN Track AS T2 ON T1.AlbumId = T2.AlbumId JOIN Genre AS T3 ON T2.GenreID = T3.GenreID WHERE T3.Name = 'Rock' | [
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13,529 | retail_world | bird:train.json:6581 | What products are no longer sold by Northwind? | SELECT ProductName FROM Products WHERE Discontinued = 1 | [
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13,530 | synthea | bird:train.json:1447 | How many of the patients who underwent a 'bone immobilization' procedure have a driver's license? | SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Bone immobilization' AND T1.drivers IS NOT NULL | [
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13,531 | retail_complains | bird:train.json:342 | Calculate the percentage of male clients from Indianapolis City. | SELECT CAST(SUM(CASE WHEN sex = 'Male' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(client_id) FROM client WHERE city = 'Indianapolis' | [
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13,532 | csu_1 | spider:train_spider.json:2357 | how many degrees were conferred between 1998 and 2002? | SELECT T1.campus , sum(T2.degrees) FROM campuses AS T1 JOIN degrees AS T2 ON T1.id = T2.campus WHERE T2.year >= 1998 AND T2.year <= 2002 GROUP BY T1.campus | [
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13,533 | flight_1 | spider:train_spider.json:366 | What is the id of every employee who has at least a salary of 100000? | SELECT eid FROM Employee WHERE salary > 100000 | [
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13,534 | music_4 | spider:train_spider.json:6149 | What are the famous titles of the artist "Triumfall"? | SELECT Famous_Title FROM artist WHERE Artist = "Triumfall" | [
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13,535 | movie_3 | bird:train.json:9168 | Give the name of the film for inventory No.3479. | SELECT T1.title FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id WHERE T2.inventory_id = 3479 | [
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13,536 | district_spokesman | bird:test.json:1188 | Find the average points and average ages of all spokesmen whose rank position is 1. | SELECT avg(points) , avg(age) FROM spokesman WHERE rank_position = 1 | [
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13,537 | works_cycles | bird:train.json:7368 | What is the name of the product with the almost highest review score? | SELECT T1.Name FROM Product AS T1 INNER JOIN ProductReview AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Rating = ( SELECT Rating FROM ProductReview ORDER BY Rating DESC LIMIT 1 ) | [
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13,538 | soccer_2016 | bird:train.json:2044 | Among the matches of Delhi Daredevils in 2009, what is the percentage of their matches won by wickets? | SELECT CAST(SUM(CASE WHEN T3.Win_Type = 'wickets' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.Win_Type) FROM Team AS T1 INNER JOIN Match AS T2 ON T1.Team_Id = T2.Match_Winner INNER JOIN Win_By AS T3 ON T2.Win_Type = T3.Win_Id WHERE T1.Team_Name = 'Delhi Daredevils' | [
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13,539 | works_cycles | bird:train.json:7156 | For the on going assembly item Component ID No. 494, what's the Unit measure for it? | SELECT T2.Name FROM BillOfMaterials AS T1 INNER JOIN UnitMeasure AS T2 ON T1.UnitMeasureCode = T2.UnitMeasureCode WHERE T1.ComponentID = 494 AND T1.EndDate IS NULL GROUP BY T2.name | [
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13,540 | manufactory_1 | spider:train_spider.json:5326 | Select the name of the products with a price less than or equal to $200. | SELECT name FROM products WHERE price <= 200 | [
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13,541 | world | bird:train.json:7851 | Among the countries that have GNP greater than 1500, what is the percentage of the countries have English as its language? | SELECT CAST(SUM(IIF(T2.Language = 'English', 1, 0)) AS REAL) * 100 / COUNT(T1.Code) FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T1.GNP > 1500 | [
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13,542 | superhero | bird:dev.json:750 | What is the average weight of all female superheroes? | SELECT AVG(T1.weight_kg) FROM superhero AS T1 INNER JOIN gender AS T2 ON T1.gender_id = T2.id WHERE T2.gender = 'Female' | [
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13,543 | body_builder | spider:train_spider.json:1170 | How many persons are not body builders? | SELECT count(*) FROM people WHERE people_id NOT IN (SELECT People_ID FROM body_builder) | [
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13,544 | local_govt_mdm | spider:train_spider.json:2653 | How many different source system code for the cmi cross references are there? | SELECT count(DISTINCT source_system_code) FROM CMI_cross_references | [
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13,545 | customers_and_addresses | spider:train_spider.json:6082 | What are the names of customers who live in Colorado state? | SELECT t1.customer_name FROM customers AS t1 JOIN customer_addresses AS t2 ON t1.customer_id = t2.customer_id JOIN addresses AS t3 ON t2.address_id = t3.address_id WHERE t3.state_province_county = "Colorado" | [
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13,546 | synthea | bird:train.json:1492 | How many patients on average receive combined chemotherapy and radiation therapy procedures each year? | SELECT CAST(COUNT(PATIENT) AS REAL) / COUNT(DISTINCT strftime('%Y', DATE)) FROM procedures WHERE DESCRIPTION = 'Combined chemotherapy and radiation therapy (procedure)' | [
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13,547 | social_media | bird:train.json:778 | How many tweets are seen by more than 1000 unique users? | SELECT COUNT(TweetID) AS tweet_number FROM twitter WHERE Reach > 1000 | [
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13,548 | card_games | bird:dev.json:457 | Please list the websites where I can purchase the cards that have the promotional type of "bundle". | SELECT DISTINCT purchaseUrls FROM cards WHERE promoTypes = 'bundle' | [
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13,549 | movie_3 | bird:train.json:9277 | What is the name of the client who has the largest quantity of rented material without returning it? | SELECT T.first_name FROM ( SELECT T2.first_name, COUNT(T1.rental_date) AS num FROM rental AS T1 INNER JOIN customer AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.first_name ) AS T ORDER BY T.num DESC LIMIT 1 | [
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13,550 | app_store | bird:train.json:2524 | List apps whose rating is 3.9 and state the translated review of each app. | SELECT T1.App, T2.Translated_Review FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.Rating = 3.9 | [
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13,551 | sales | bird:train.json:5374 | List down the first name of customers who placed order for product id 1. | SELECT T1.FirstName FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN Products AS T3 ON T2.ProductID = T3.ProductID WHERE T2.ProductID = 1 | [
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13,552 | art_1 | bird:test.json:1262 | List the names of all distinct paintings in alphabetical order. | SELECT DISTINCT title FROM paintings ORDER BY title | [
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13,553 | music_2 | spider:train_spider.json:5270 | Find the number of songs in all the studio albums. | SELECT count(DISTINCT T3.title) FROM albums AS T1 JOIN tracklists AS T2 ON T1.aid = T2.albumid JOIN songs AS T3 ON T2.songid = T3.songid WHERE t1.type = "Studio" | [
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13,554 | insurance_policies | spider:train_spider.json:3887 | Find the policy type the most customers choose. | SELECT Policy_Type_Code FROM Customer_Policies GROUP BY Policy_Type_Code ORDER BY count(*) DESC LIMIT 1 | [
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"id": 0,
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{
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13,555 | cre_Docs_and_Epenses | spider:train_spider.json:6409 | Show the document name and the document date for all documents on project with details 'Graph Database project'. | SELECT document_name , document_date FROM Documents AS T1 JOIN projects AS T2 ON T1.project_id = T2.project_id WHERE T2.project_details = 'Graph Database project' | [
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13,556 | mondial_geo | bird:train.json:8259 | Among the countries with over 3 organizations, how many of them have an inflation rate of over 5%? | SELECT COUNT(T2.Country) FROM economy AS T1 INNER JOIN organization AS T2 ON T1.Country = T2.Country WHERE T2.Country IN ( SELECT Country FROM organization GROUP BY Country HAVING COUNT(Country) > 3 ) AND T1.Inflation > 5 | [
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13,557 | e_commerce | bird:test.json:114 | List the invoice dates and ids of the invoices causing at least 2 shipments. | SELECT T1.invoice_date , T1.invoice_number FROM Invoices AS T1 JOIN Shipments AS T2 ON T1.invoice_number = T2.invoice_number GROUP BY T1.invoice_number HAVING count(*) >= 2 | [
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13,558 | movie_platform | bird:train.json:40 | How many directors have directed atleast 10 movies between 1960 to 1985? Indicate the name of the movie in those years of each director that received the highest amount of 5 rating score. | SELECT T2.director_name FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_release_year BETWEEN 1960 AND 1985 GROUP BY T2.director_name HAVING COUNT(T2.movie_id) > 10 | [
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13,559 | twitter_1 | spider:train_spider.json:278 | Find the number of followers for each user. | SELECT count(*) FROM follows GROUP BY f1 | [
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13,560 | cre_Students_Information_Systems | bird:test.json:444 | Which teachers teach a class that has the substring 'data' in its detail but do not teach a class that has prefix 'net' in its detail? Give me the teacher details. | SELECT T1.teacher_details FROM Teachers AS T1 JOIN Classes AS T2 ON T1.teacher_id = T2.teacher_id WHERE T2.class_details LIKE '%data%' EXCEPT SELECT T1.teacher_details FROM Teachers AS T1 JOIN Classes AS T2 ON T1.teacher_id = T2.teacher_id WHERE T2.class_details LIKE 'net%' | [
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13,561 | hr_1 | spider:train_spider.json:3462 | What are all the employee ids and the names of the countries in which they work? | SELECT T1.employee_id , T4.country_name FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id JOIN locations AS T3 ON T2.location_id = T3.location_id JOIN countries AS T4 ON T3.country_id = T4.country_id | [
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13,562 | customers_card_transactions | spider:train_spider.json:677 | Show all customer ids and the number of accounts for each customer. | SELECT customer_id , count(*) FROM Accounts GROUP BY customer_id | [
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13,563 | retails | bird:train.json:6816 | Which nation and region does the Customer#000000008 come from? | SELECT T1.n_name, T3.r_name FROM nation AS T1 INNER JOIN customer AS T2 ON T1.n_nationkey = T2.c_nationkey INNER JOIN region AS T3 ON T1.n_regionkey = T3.r_regionkey WHERE T2.c_name = 'Customer#000000008' | [
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"id": 9,
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13,564 | activity_1 | spider:train_spider.json:6720 | What buildings have faculty offices? | SELECT DISTINCT building FROM Faculty | [
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"id": 1,
"type": "column",
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"id": 0,
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13,565 | customers_and_orders | bird:test.json:238 | Count the number of products. | SELECT count(*) FROM Products | [
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"id": 0,
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13,566 | thrombosis_prediction | bird:dev.json:1276 | For the patients who have an abnormal level of anti-DNA, please list the diseases they are diagnosed with. | SELECT DISTINCT(T1.Diagnosis) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.DNA >= 8 | [
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13,567 | college_1 | spider:train_spider.json:3178 | What are the first and last name of all biology professors? | SELECT T3.EMP_FNAME , T3.EMP_LNAME FROM professor AS T1 JOIN department AS T2 ON T1.dept_code = T2.dept_code JOIN employee AS T3 ON T1.EMP_NUM = T3.EMP_NUM WHERE DEPT_NAME = "Biology" | [
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13,568 | synthea | bird:train.json:1460 | Write down the Social Security numbers of patients who have latex allergies. | SELECT T1.ssn FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Latex allergy' | [
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"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"B-TABLE",
"O"
] |
13,569 | cre_Doc_and_collections | bird:test.json:713 | Which document subset has most of number of distinct documents ? List subset id , name and number of documents . | select t1.document_subset_id , t2.document_subset_name , count(distinct t1.document_object_id) from document_subset_members as t1 join document_subsets as t2 on t1.document_subset_id = t2.document_subset_id group by t1.document_subset_id order by count(*) desc limit 1; | [
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{
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... | [
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"O",
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] |
13,570 | student_loan | bird:train.json:4493 | How many unemployed students filed for bankruptcy? | SELECT COUNT(T1.name) FROM unemployed AS T1 INNER JOIN filed_for_bankrupcy AS T2 ON T2.name = T1.name | [
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"id": 1,
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},
{
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"type": "table",
"value": "unemployed"
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{
"id": 2,
"type": "column",
"value": "name"
}
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... | [
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13,571 | cre_Doc_Control_Systems | spider:train_spider.json:2112 | How many documents have the status code done? | SELECT count(*) FROM Documents WHERE document_status_code = "done"; | [
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] | [
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"id": 1,
"type": "column",
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},
{
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"type": "table",
"value": "documents"
},
{
"id": 2,
"type": "column",
"value": "done"
}
] | [
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... | [
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13,572 | storm_record | spider:train_spider.json:2724 | What are the region names affected by the storm with a number of deaths of least 10? | SELECT T2.region_name FROM affected_region AS T1 JOIN region AS T2 ON T1.region_id = T2.region_id JOIN storm AS T3 ON T1.storm_id = T3.storm_id WHERE T3.number_deaths >= 10 | [
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"id": 4,
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{
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{
"id": 0,
"type": "column",
"value": "region_name"
},
{
"id": 7,
"type": "column",
"value": "region_id"
},
{
"id": 6,
"type": "c... | [
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] |
13,573 | sakila_1 | spider:train_spider.json:2985 | Return the titles of films that include 'Deleted Scenes' in their special feature section. | SELECT title FROM film WHERE special_features LIKE '%Deleted Scenes%' | [
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] | [
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"id": 2,
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{
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"type": "value",
"value": "%Deleted Scenes%"
},
{
"id": 1,
"type": "column",
"value": "title"
},
{
"id": 0,
"type": "table",
"value": "film"
}
] | [
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] |
13,574 | farm | spider:train_spider.json:40 | Please show the themes of competitions with host cities having populations larger than 1000. | SELECT T2.Theme FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID WHERE T1.Population > 1000 | [
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"id": 2,
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{
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"type": "column",
"value": "host_city_id"
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"id": 3,
"type": "column",
"value": "population"
},
{
"id": 5,
"type": "column",
"value": "city_id"
},
{
"id": 0,
"type": "colu... | [
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] |
13,575 | network_2 | spider:train_spider.json:4470 | What is the age of the friend of Zach with longest year relationship? | SELECT T1.age FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.friend WHERE T2.name = 'Zach' AND T2.year = (SELECT max(YEAR) FROM PersonFriend WHERE name = 'Zach') | [
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] | [
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"id": 2,
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"value": "person"
},
{
"id": 4,
"type": "column",
"value": "friend"
},
{
"id": 3,
"type": "column",
"value": "name"
},
{
"id": 5,
"type": "value",
"value": "... | [
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},
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"token_idxs": ... | [
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"O",
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"O",
"O"
] |
13,576 | works_cycles | bird:train.json:7230 | Which territory has the most customers as of 9/12/2014? | SELECT TerritoryID FROM Customer WHERE ModifiedDate < '2014-12-09' GROUP BY TerritoryID ORDER BY COUNT(TerritoryID) DESC LIMIT 1 | [
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"most",
"customers",
"as",
"of",
"9/12/2014",
"?"
] | [
{
"id": 2,
"type": "column",
"value": "modifieddate"
},
{
"id": 1,
"type": "column",
"value": "territoryid"
},
{
"id": 3,
"type": "value",
"value": "2014-12-09"
},
{
"id": 0,
"type": "table",
"value": "customer"
}
] | [
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"O",
"O",
"O",
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"O"
] |
13,577 | department_store | spider:train_spider.json:4724 | Return the name, phone number and email address for the customer with the most orders. | SELECT T1.customer_name , T1.customer_phone , T1.customer_email FROM customers AS T1 JOIN customer_orders AS T2 ON T1.customer_id = T2.customer_id GROUP BY T2.customer_id ORDER BY count(*) DESC LIMIT 1 | [
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] | [
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},
{
"id": 3,
"type": "column",
"value": "customer_email"
},
{
"id": 1,
"type": "column",
"value": "customer_name"
},
{
"id": 0,
"t... | [
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] |
13,578 | formula_1 | bird:dev.json:984 | What is the website of the constructor who tallied the most total wins. | SELECT T1.url FROM constructors AS T1 INNER JOIN constructorStandings AS T2 on T1.constructorId = T2.constructorId ORDER BY T2.wins DESC LIMIT 1 | [
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] | [
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"id": 2,
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{
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{
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"value": "constructors"
},
{
"id": 3,
"type": "column",
"value": "wins"
},
{
"id": 0,
"type": "c... | [
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},
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"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
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