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6,214 | movie_3 | bird:train.json:9228 | Among the customers with customer ID of 100 and below, how many of them have Thomas as their last name? | SELECT COUNT(customer_id) FROM customer WHERE last_name = 'Thomas' AND customer_id < 100 | [
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6,215 | bbc_channels | bird:test.json:130 | Find the number of channels that do not run any program. | SELECT count(*) FROM channel WHERE channel_id NOT IN (SELECT channel_id FROM program) | [
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6,217 | cars | bird:train.json:3118 | Calculate the difference between the number of cars that has a horsepower of 130 with the model year 1970 and model year 1976 | SELECT SUM(CASE WHEN T2.model_year = 1970 THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.model_year = 1976 THEN 1 ELSE 0 END) FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID WHERE T1.horsepower = 130 | [
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6,218 | computer_student | bird:train.json:986 | How many teachers are faculty employees? | SELECT COUNT(*) FROM person WHERE hasPosition = 'Faculty_eme' | [
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6,219 | driving_school | spider:train_spider.json:6631 | What is the date of birth for the staff member named Janessa Sawayn? | SELECT date_of_birth FROM Staff WHERE first_name = "Janessa" AND last_name = "Sawayn"; | [
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6,220 | music_4 | spider:train_spider.json:6172 | Return names of songs in volumes that are by artists that are at least 32 years old. | SELECT T2.Song FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age >= 32 | [
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6,221 | student_assessment | spider:train_spider.json:70 | How many students are attending English courses? | SELECT count(*) FROM courses AS T1 JOIN student_course_attendance AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "English" | [
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6,222 | european_football_2 | bird:dev.json:1084 | Among the players born before the year 1986, how many of them would remain in his position and defense while the team attacked? | SELECT COUNT(DISTINCT t1.player_name) FROM Player AS t1 INNER JOIN Player_Attributes AS t2 ON t1.player_api_id = t2.player_api_id WHERE STRFTIME('%Y',t1.birthday) < '1986' AND t2.defensive_work_rate = 'high' | [
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6,223 | tracking_software_problems | spider:train_spider.json:5388 | What are the ids of the problems reported before the date of any problem reported by Lysanne Turcotte? | SELECT T1.problem_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE date_problem_reported < ( SELECT min(date_problem_reported) FROM problems AS T3 JOIN staff AS T4 ON T3.reported_by_staff_id = T4.staff_id WHERE T4.staff_first_name = "Lysanne" AND T4.staff_last_name = "Turcotte" ) | [
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6,225 | soccer_2 | spider:train_spider.json:4981 | What are the name of the players who received a card in descending order of the hours of training? | SELECT pName FROM Player WHERE yCard = 'yes' ORDER BY HS DESC | [
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6,226 | retail_complains | bird:train.json:295 | How many Credit Card complaints did Sharon handle? | SELECT COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.Product = 'Credit card' AND T1.server = 'SHARON' | [
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6,228 | restaurant | bird:train.json:1785 | Which region has the highest number of restaurants? | SELECT T1.region FROM geographic AS T1 INNER JOIN location AS T2 ON T1.city = T2.city GROUP BY T1.region ORDER BY COUNT(T2.id_restaurant) DESC LIMIT 1 | [
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6,229 | student_loan | bird:train.json:4382 | Please list all the female students that have filed for bankruptcy. | SELECT name FROM filed_for_bankrupcy WHERE name NOT IN ( SELECT name FROM male ) | [
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6,230 | train_station | spider:train_spider.json:6600 | Show the name, location, and number of platforms for all stations. | SELECT name , LOCATION , number_of_platforms FROM station | [
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6,231 | beer_factory | bird:train.json:5318 | What percentage of customers who paid with a Discover Credit Card gave a 3-star rating? | SELECT CAST(COUNT(CASE WHEN T1.StarRating = 3 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.CustomerID) FROM rootbeerreview AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.CreditCardType = 'Discover' | [
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6,233 | film_rank | spider:train_spider.json:4138 | Please list the years of film market estimations when the market is in country "Japan" in descending order. | SELECT T1.Year FROM film_market_estimation AS T1 JOIN market AS T2 ON T1.Market_ID = T2.Market_ID WHERE T2.Country = "Japan" ORDER BY T1.Year DESC | [
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6,234 | california_schools | bird:dev.json:48 | What is the ratio of merged Unified School District schools in Orange County to merged Elementary School District schools? | SELECT CAST(SUM(CASE WHEN DOC = 54 THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN DOC = 52 THEN 1 ELSE 0 END) FROM schools WHERE StatusType = 'Merged' AND County = 'Orange' | [
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6,235 | cre_Drama_Workshop_Groups | spider:train_spider.json:5153 | List the email addresses of the drama workshop groups located in Alaska state. | SELECT T2.Store_Email_Address FROM Addresses AS T1 JOIN Drama_Workshop_Groups AS T2 ON T1.Address_ID = T2.Address_ID WHERE T1.State_County = "Alaska" | [
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6,236 | entrepreneur | spider:train_spider.json:2273 | What are the names of entrepreneurs? | SELECT T2.Name FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID | [
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"id": 1,
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6,237 | movie_1 | spider:train_spider.json:2434 | Find the titles of all movies directed by steven spielberg. | SELECT title FROM Movie WHERE director = 'Steven Spielberg' | [
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6,238 | card_games | bird:dev.json:476 | Please list the name of the cards in the set Coldsnap with the highest converted mana cost. | SELECT T1.name FROM cards AS T1 INNER JOIN sets AS T2 ON T2.code = T1.setCode WHERE T2.name = 'Coldsnap' ORDER BY T1.convertedManaCost DESC LIMIT 1 | [
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6,239 | language_corpus | bird:train.json:5733 | Indicate if there is any pair formed by the words fukunaga and d'egees. | SELECT CASE WHEN COUNT(T1.wid) > 0 THEN 'yes' ELSE 'no' END FROM words AS T1 INNER JOIN biwords AS T2 ON T1.wid = T2.w1st OR T1.wid = T2.w2nd WHERE T2.w1st = ( SELECT wid FROM words WHERE T1.word = 'fukunaga' ) AND T2.w2nd = ( SELECT wid FROM words WHERE word LIKE 'd%egees' ) | [
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6,240 | language_corpus | bird:train.json:5769 | Calculate the average percentage of word appearance in the page that have revision page id smaller than 106680. | SELECT CAST(SUM(T1.words) AS REAL) * 100 / SUM(T2.occurrences) FROM pages AS T1 INNER JOIN pages_words AS T2 ON T1.pid = T2.pid WHERE T1.revision < 106680 | [
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6,241 | chicago_crime | bird:train.json:8741 | Please name three communities that experience the fraud incident. | SELECT T3.community_area_name FROM FBI_Code AS T1 INNER JOIN Crime AS T2 ON T1.fbi_code_no = T2.fbi_code_no INNER JOIN Community_Area AS T3 ON T2.community_area_no = T3.community_area_no WHERE T1.title = 'Criminal Sexual Assault' LIMIT 3 | [
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6,242 | student_club | bird:dev.json:1387 | Which student has been entrusted to manage the budget for the Yearly Kickoff? | SELECT T4.first_name, T4.last_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 INNER JOIN member AS T4 ON T3.link_to_member = T4.member_id WHERE T1.event_name = 'Yearly Kickoff' | [
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6,243 | baseball_1 | spider:train_spider.json:3694 | How many games in total did team Boston Red Stockings attend from 2000 to 2010? | SELECT sum(T1.attendance) FROM home_game AS T1 JOIN team AS T2 ON T1.team_id = T2.team_id_br WHERE T2.name = 'Boston Red Stockings' AND T1.year BETWEEN 2000 AND 2010; | [
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6,244 | music_platform_2 | bird:train.json:7986 | What is the average rating of the podcast "Please Excuse My Dead Aunt Sally"? | SELECT AVG(T2.rating) FROM podcasts AS T1 INNER JOIN reviews AS T2 ON T2.podcast_id = T1.podcast_id WHERE T1.title = 'Please Excuse My Dead Aunt Sally' | [
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6,245 | train_station | spider:train_spider.json:6617 | Show all locations with only 1 station. | SELECT LOCATION FROM station GROUP BY LOCATION HAVING count(*) = 1 | [
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6,246 | authors | bird:train.json:3574 | Identify by papers title those in which conferences have been published that do not have a website.. | SELECT T2.Title FROM Conference AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.ConferenceId WHERE T1.HomePage = '' AND T2.Title <> '' | [
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6,247 | medicine_enzyme_interaction | spider:train_spider.json:952 | What are the ids, names, and FDA approval status for medicines ordered by descending number of possible enzyme interactions? | SELECT T1.id , T1.Name , T1.FDA_approved FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id ORDER BY count(*) DESC | [
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6,248 | works_cycles | bird:train.json:7407 | Where can I find the Valley Bicycle Specialists store? | SELECT T2.AddressLine1, T2.AddressLine2 FROM BusinessEntityAddress AS T1 INNER JOIN Address AS T2 ON T1.AddressID = T2.AddressID INNER JOIN Store AS T3 ON T1.BusinessEntityID = T3.BusinessEntityID WHERE T3.Name = 'Valley Bicycle Specialists' | [
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6,249 | behavior_monitoring | spider:train_spider.json:3102 | Find the first names and last names of teachers in alphabetical order of last name. | SELECT first_name , last_name FROM Teachers ORDER BY last_name | [
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6,250 | school_player | spider:train_spider.json:4875 | Which team has the oldest player? | SELECT Team FROM player ORDER BY Age DESC LIMIT 1 | [
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6,251 | works_cycles | bird:train.json:7313 | Name the oldest employee who is working on night shift. How old is the employee? | SELECT T1.FirstName, T1.LastName , STRFTIME('%Y', CURRENT_TIMESTAMP) - STRFTIME('%Y', BirthDate) FROM Person AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN EmployeeDepartmentHistory AS T3 ON T2.BusinessEntityID = T3.BusinessEntityID WHERE T3.ShiftId = 3 ORDER BY STRFTIME('%Y', C... | [
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6,253 | regional_sales | bird:train.json:2586 | Calculate the average net profit for bakeware product. | SELECT AVG(REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '')) FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID WHERE T2.`Product Name` = 'Bakeware' | [
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6,254 | cookbook | bird:train.json:8903 | Which ingredient appeared the most in recipes? Calculate its amount of appearance in percentage. | SELECT T1.name, CAST(COUNT(T2.ingredient_id) AS FLOAT) * 100 / ( SELECT COUNT(T2.ingredient_id) FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T2.ingredient_id = T1.ingredient_id ) AS "percentage" FROM Ingredient AS T1 INNER JOIN Quantity AS T2 ON T2.ingredient_id = T1.ingredient_id GROUP BY T2.ingredient_id ORDER ... | [
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6,255 | retail_world | bird:train.json:6576 | Name products and their quantity ordered by the company 'GROSELLA-Restaurante' in the sales order that was processed by Nancy Davolio. | SELECT T4.ProductName, T3.Quantity FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN `Order Details` AS T3 ON T2.OrderID = T3.OrderID INNER JOIN Products AS T4 ON T3.ProductID = T4.ProductID INNER JOIN Customers AS T5 ON T2.CustomerID = T5.CustomerID WHERE T1.FirstName = 'Nancy' A... | [
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6,256 | donor | bird:train.json:3160 | If funded, which are the projects that could impact at least 600 students for a school with moderate level of poverty? Name the projects and state the project cost. | SELECT DISTINCT T2.title, T1.total_price_excluding_optional_support FROM projects AS T1 INNER JOIN essays AS T2 ON T1.projectid = T2.projectid WHERE T1.students_reached >= 600 AND T1.poverty_level LIKE 'moderate poverty' | [
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6,257 | donor | bird:train.json:3182 | Which school requested the highest amount of resources from Amazon? State the school's ID. | SELECT T2.schoolid FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T1.vendor_name LIKE 'Amazon' GROUP BY T2.schoolid ORDER BY COUNT(T1.vendor_name) DESC LIMIT 1 | [
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6,258 | race_track | spider:train_spider.json:785 | Show the name and location of track with 1 race. | SELECT T2.name , T2.location FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id HAVING count(*) = 1 | [
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6,259 | superstore | bird:train.json:2377 | What category does the item ordered by Katherine Murray on 11/4/2018 in the South region belong to? | SELECT DISTINCT T3.Category FROM south_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` INNER JOIN product AS T3 ON T3.`Product ID` = T1.`Product ID` WHERE T2.`Customer Name` = 'Katherine Murray' AND T1.`Order Date` = '2018-11-04' AND T2.Region = 'South' | [
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6,260 | legislator | bird:train.json:4803 | List the full names, Twitter IDs, and YouTube IDs of legislators who have Richard as their first name. | SELECT T2.official_full_name, T1.twitter_id, T1.youtube_id FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T2.first_name = 'Richard' | [
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6,261 | ship_mission | spider:train_spider.json:4000 | List the name of ships in ascending order of tonnage. | SELECT Name FROM ship ORDER BY Tonnage ASC | [
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6,262 | language_corpus | bird:train.json:5692 | List all the first words of the biwords pair where the second word is 'antic'. | SELECT T1.word FROM words AS T1 INNER JOIN biwords AS T2 ON T1.wid = T2.w1st WHERE T2.w2nd = ( SELECT wid FROM words WHERE word = 'antic' ) | [
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6,263 | insurance_and_eClaims | spider:train_spider.json:1533 | Find the names of customers who either have an deputy policy or uniformed policy. | SELECT DISTINCT t2.customer_details FROM policies AS t1 JOIN customers AS t2 ON t1.customer_id = t2.customer_id WHERE t1.policy_type_code = "Deputy" OR t1.policy_type_code = "Uniform" | [
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6,264 | country_language | bird:test.json:1376 | Show the names of countries and their official languages. | SELECT T1.name , T3.name FROM countries AS T1 JOIN official_languages AS T2 ON T1.id = T2.country_id JOIN languages AS T3 ON T2.language_id = T3.id | [
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6,265 | sales | bird:train.json:5392 | Among the products, how many of them are freebies? | SELECT COUNT(ProductID) FROM Products WHERE Price = 0 | [
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6,266 | cre_Drama_Workshop_Groups | spider:train_spider.json:5170 | What is the description of the service type which offers both the photo product and the film product? | SELECT T1.Service_Type_Description FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code WHERE T2.Product_Name = 'photo' INTERSECT SELECT T1.Service_Type_Description FROM Ref_Service_Types AS T1 JOIN Services AS T2 ON T1.Service_Type_Code = T2.Service_Type_Code WHERE T2.P... | [
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6,268 | art_1 | bird:test.json:1217 | What is the first and last name of each distinct artists who made a sculpture before 1900? | SELECT DISTINCT T1.lname , T1.fname FROM artists AS T1 JOIN sculptures AS T2 ON T1.artistID = T2.sculptorID WHERE T2.year < 1900 | [
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6,269 | cre_Students_Information_Systems | bird:test.json:459 | How many students got the most common result in the behavioral monitoring details? Also list the result details. | SELECT count(DISTINCT student_id) , behaviour_monitoring_details FROM Behaviour_Monitoring GROUP BY behaviour_monitoring_details ORDER BY count(*) DESC LIMIT 1 | [
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6,270 | student_club | bird:dev.json:1449 | What is the name and major of members who had to spend more than a hundred dollars on an expense? | SELECT DISTINCT T1.first_name, T1.last_name, T2.major_name FROM member AS T1 INNER JOIN major AS T2 ON T2.major_id = T1.link_to_major INNER JOIN expense AS T3 ON T1.member_id = T3.link_to_member WHERE T3.cost > 100 | [
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6,271 | network_2 | spider:train_spider.json:4475 | What are the names, ages, and jobs of all people who are friends with Alice for the longest amount of time? | SELECT T1.name , T1.age , T1.job FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.name WHERE T2.friend = 'Alice' AND T2.year = (SELECT max(YEAR) FROM PersonFriend WHERE friend = 'Alice') | [
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6,272 | formula_1 | spider:train_spider.json:2203 | What are the names of races held between 2009 and 2011? | SELECT name FROM races WHERE YEAR BETWEEN 2009 AND 2011 | [
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6,273 | human_resources | bird:train.json:8978 | Which positions are suitable with 4 years degree education? | SELECT positiontitle FROM position WHERE educationrequired = '4 year degree' | [
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"id": 3,
"type": "value",
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6,274 | party_people | spider:train_spider.json:2081 | How many Annual Meeting events happened in the United Kingdom region? | SELECT count(*) FROM region AS t1 JOIN party AS t2 ON t1.region_id = t2.region_id JOIN party_events AS t3 ON t2.party_id = t3.party_id WHERE t1.region_name = "United Kingdom" AND t3.Event_Name = "Annaual Meeting" | [
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6,276 | music_2 | spider:train_spider.json:5242 | What instrument did the musician with last name "Heilo" use in the song "Badlands"? | SELECT T4.instrument FROM Performance AS T1 JOIN Band AS T2 ON T1.bandmate = T2.id JOIN Songs AS T3 ON T3.SongId = T1.SongId JOIN Instruments AS T4 ON T4.songid = T3.songid AND T4.bandmateid = T2.id WHERE T2.lastname = "Heilo" AND T3.title = "Badlands" | [
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6,277 | sales | bird:train.json:5372 | Calculate the total sales ids that were sales of Flat Washer 8. | SELECT COUNT(T1.SalesID) FROM Sales AS T1 INNER JOIN Products AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Name = 'Flat Washer 8' | [
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6,278 | cre_Drama_Workshop_Groups | spider:train_spider.json:5113 | Sort the names of products in ascending order of their price. | SELECT Product_Name FROM Products ORDER BY Product_Price ASC | [
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6,279 | car_retails | bird:train.json:1613 | How many products with the highest expected profits were sold in total? | SELECT SUM(t2.quantityOrdered) FROM orderdetails AS t2 INNER JOIN ( SELECT t1.productCode FROM products AS t1 ORDER BY t1.MSRP - t1.buyPrice DESC LIMIT 1 ) AS t3 ON t2.productCode = t3.productCode | [
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6,280 | airline | bird:train.json:5829 | How many flights on 2018/8/1 were operated by American Airlines Inc.? | SELECT COUNT(*) FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN INNER JOIN `Air Carriers` AS T3 ON T2.OP_CARRIER_AIRLINE_ID = T3.Code WHERE T2.FL_DATE = '2018/8/1' AND T3.Description = 'American Airlines Inc.: AA' | [
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6,281 | twitter_1 | spider:train_spider.json:300 | Find the maximum and total number of followers of all users. | SELECT max(followers) , sum(followers) FROM user_profiles | [
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6,282 | cre_Doc_and_collections | bird:test.json:699 | List collection subset id, name and number of collections in each subset. | SELECT T2.Collection_Subset_ID , T1.Collection_Subset_Name , count(*) FROM Collection_Subsets AS T1 JOIN Collection_Subset_Members AS T2 ON T1.Collection_Subset_ID = T2.Collection_Subset_ID GROUP BY T2.Collection_Subset_ID; | [
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6,283 | cre_Docs_and_Epenses | spider:train_spider.json:6427 | What is the document type description for document type named Film? | SELECT document_type_description FROM Ref_document_types WHERE document_type_name = "Film" | [
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6,284 | soccer_2016 | bird:train.json:2015 | List the names of players who played as a keeper. | SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T3.Role_Desc = 'Keeper' GROUP BY T1.Player_Name | [
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6,285 | performance_attendance | spider:train_spider.json:1319 | Show the dates of performances with attending members whose roles are "Violin". | SELECT T3.Date FROM member_attendance AS T1 JOIN member AS T2 ON T1.Member_ID = T2.Member_ID JOIN performance AS T3 ON T1.Performance_ID = T3.Performance_ID WHERE T2.Role = "Violin" | [
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6,286 | art_1 | bird:test.json:1249 | How many paintings were created before 1900 in different locations? | SELECT count(*) , LOCATION FROM paintings WHERE YEAR < 1900 GROUP BY LOCATION | [
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6,287 | language_corpus | bird:train.json:5756 | List out the total pages of Wikipedia in Catalan language. | SELECT pages FROM langs | [
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6,288 | codebase_comments | bird:train.json:603 | What is the language of the method ''PixieTests.SqlConnectionLayerTests.TestSqlCreateGuidColumn"? | SELECT Lang FROM Method WHERE Name = 'PixieTests.SqlConnectionLayerTests.TestSqlCreateGuidColumn' | [
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6,289 | beer_factory | bird:train.json:5329 | Calculate the total purchases made by customers using their Visa credit cards in the Sac State American River Courtyard between 6/3/2014 and 11/27/2015. | SELECT SUM(T1.PurchasePrice) FROM `transaction` AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.LocationName = 'Sac State American River Courtyard' AND T1.CreditCardType = 'Visa' AND T1.TransactionDate BETWEEN '2014-06-03' AND '2015-11-27' | [
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6,290 | toxicology | bird:dev.json:325 | How many carcinogenic molecules that consisted of Nitrogen? | SELECT COUNT(DISTINCT T1.molecule_id) FROM molecule AS T1 INNER JOIN atom AS T2 ON T1.molecule_id = T2.molecule_id WHERE T2.element = 'n' AND T1.label = '+' | [
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6,292 | works_cycles | bird:train.json:7012 | State the product name, product line, rating and the selling price of product with the lowest rating. | SELECT T1.Name, T1.ProductLine, T2.Rating, T1.ListPrice FROM Product AS T1 INNER JOIN ProductReview AS T2 ON T1.ProductID = T2.ProductID ORDER BY T2.Rating ASC LIMIT 1 | [
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6,293 | retail_complains | bird:train.json:243 | Please list the full names of all the male clients born after the year 1990. | SELECT first, middle, last FROM client WHERE year > 1990 | [
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6,294 | apartment_rentals | spider:train_spider.json:1271 | Which apartments have bookings with both status codes "Provisional" and "Confirmed"? Give me the apartment numbers. | SELECT T2.apt_number FROM Apartment_Bookings AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T1.booking_status_code = "Confirmed" INTERSECT SELECT T2.apt_number FROM Apartment_Bookings AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T1.booking_status_code = "Provisional" | [
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6,295 | thrombosis_prediction | bird:dev.json:1238 | Among the patients who were diagnosed with SLE, who is the oldest with normal hemoglobin level. Provide the ID and sex. | SELECT T1.ID, T1.SEX FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T1.Diagnosis = 'SLE' AND T2.HGB > 10 AND T2.HGB < 17 ORDER BY T1.Birthday ASC LIMIT 1 | [
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6,296 | mondial_geo | bird:train.json:8298 | How many mountains are there in the country with the greatest population? | SELECT COUNT(T2.Mountain) FROM country AS T1 INNER JOIN geo_mountain AS T2 ON T1.Code = T2.Country GROUP BY T1.Name ORDER BY T1.Population DESC LIMIT 1 | [
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6,297 | retails | bird:train.json:6802 | Which ship mode has more "deliver in person" instructions, rail or mail? | SELECT IIF(SUM(IIF(l_shipmode = 'RAIL', 1, 0)) - SUM(IIF(l_shipmode = 'MAIL', 1, 0)), 'RAIL', 'MAIL') AS result FROM lineitem WHERE l_shipinstruct = 'DELIVER IN PERSON' | [
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6,298 | student_club | bird:dev.json:1445 | Find the full name of members whose t-shirt size is extra large. | SELECT first_name, last_name FROM member WHERE t_shirt_size = 'X-Large' | [
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6,299 | aan_1 | bird:test.json:995 | List names of all authors who have only 1 paper. | SELECT T1.name FROM Author AS T1 JOIN Author_list AS T2 ON T1.author_id = T2.author_id GROUP BY T1.author_id HAVING count(*) = 1 | [
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6,300 | car_road_race | bird:test.json:1336 | Please show the names and ages of the drivers who participated in at least two races. | SELECT T1.Driver_Name , T1.Age FROM driver AS T1 JOIN race AS T2 ON T1.Driver_ID = T2.Driver_ID GROUP BY T1.Driver_ID HAVING COUNT(*) >= 2 | [
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6,301 | legislator | bird:train.json:4830 | What is the google entity ID of Benjamin Hawkins? | SELECT google_entity_id_id FROM historical WHERE first_name = 'Benjamin' AND last_name = 'Hawkins' | [
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6,302 | hr_1 | spider:train_spider.json:3463 | display the department name and number of employees in each of the department. | SELECT T2.department_name , COUNT(*) FROM employees AS T1 JOIN departments AS T2 ON T1.department_id = T2.department_id GROUP BY T2.department_name | [
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6,303 | beer_factory | bird:train.json:5344 | List out the name of the top 10 spenders and what credit card type are they using. | SELECT T1.First, T1.Last, T2.CreditCardType FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID GROUP BY T1.CustomerID ORDER BY SUM(T2.PurchasePrice) DESC LIMIT 10 | [
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6,305 | election | spider:train_spider.json:2764 | What are the names of the county that the delegates on "Appropriations" committee belong to? | SELECT T1.County_name FROM county AS T1 JOIN election AS T2 ON T1.County_id = T2.District WHERE T2.Committee = "Appropriations" | [
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6,306 | book_1 | bird:test.json:585 | Show ids for orders including both "Pride and Prejudice" and "The Little Prince". | SELECT idOrder FROM Book AS T1 JOIN Books_Order AS T2 ON T1.isbn = T2.isbn WHERE T1.title = "Pride and Prejudice" INTERSECT SELECT idOrder FROM Book AS T1 JOIN Books_Order AS T2 ON T1.isbn = T2.isbn WHERE T1.title = "The Little Prince" | [
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6,307 | tracking_software_problems | spider:train_spider.json:5386 | What are the product ids for the problems reported by Christop Berge with closure authorised by Ashley Medhurst? | SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.reported_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Christop" AND T2.staff_last_name = "Berge" INTERSECT SELECT product_id FROM problems AS T1 JOIN staff AS T2 ON T1.closure_authorised_by_staff_id = T2.staff_id WHERE T2.staff_first_name = "Ashley"... | [
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6,308 | candidate_poll | spider:train_spider.json:2408 | Find the average height and weight for all males (sex is M). | SELECT avg(height) , avg(weight) FROM people WHERE sex = 'M' | [
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6,309 | driving_school | spider:train_spider.json:6637 | How many employees have a first name of Ludie? | SELECT count(*) FROM Staff WHERE first_name = "Ludie"; | [
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6,310 | public_review_platform | bird:train.json:3960 | How long is the Yelp business No. 15098 opened on Monday? | SELECT SUBSTR(T1.closing_time, 1, 2) + 12 - SUBSTR(T1.opening_time, 1, 2) AS YYSJ FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T2.day_of_week = 'Monday' AND T1.business_id = 15098 | [
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6,312 | book_publishing_company | bird:train.json:179 | Name the store with ID 7066 and calculate the percentage of the the quantity ordered that were on 'Net 30' payment terms. | SELECT T2.stor_name , CAST(SUM(CASE WHEN payterms = 'Net 30' THEN qty ELSE 0 END) AS REAL) * 100 / SUM(qty) FROM sales AS T1 INNER JOIN stores AS T2 ON T1.stor_id = T2.stor_id WHERE T1.stor_id = '7066' GROUP BY T2.stor_name | [
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6,313 | customer_complaints | spider:train_spider.json:5809 | Of complaints with the type code "Product Failure", how many had each different status code? | SELECT complaint_status_code , count(*) FROM complaints WHERE complaint_type_code = "Product Failure" GROUP BY complaint_status_code | [
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6,314 | legislator | bird:train.json:4793 | Provide the current legislators' official full names who are from the Independent party. | SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Independent' GROUP BY T1.official_full_name | [
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6,315 | works_cycles | bird:train.json:7436 | List all products with the color yellow. | SELECT ProductID FROM Product WHERE Color = 'Yellow' | [
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"id": 1,
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6,316 | race_track | spider:train_spider.json:781 | Show the name of track with most number of races. | SELECT T2.name FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id ORDER BY count(*) DESC LIMIT 1 | [
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6,317 | books | bird:train.json:5958 | What is the total shipping cost of all the orders made by Page Holsey? Indicate how many of the said orders were ordered in 2022. | SELECT SUM(T3.cost) FROM customer AS T1 INNER JOIN cust_order AS T2 ON T1.customer_id = T2.customer_id INNER JOIN shipping_method AS T3 ON T3.method_id = T2.shipping_method_id WHERE T1.first_name = 'Page' AND T1.last_name = 'Holsey' AND STRFTIME('%Y', T2.order_date) = '2022' | [
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6,318 | soccer_2016 | bird:train.json:1800 | For how many times has SC Ganguly played as team captain in a match? | SELECT SUM(CASE WHEN T3.Role_Desc = 'Captain' THEN 1 ELSE 0 END) FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Rolee AS T3 ON T2.Role_Id = T3.Role_Id WHERE T1.Player_Name = 'SC Ganguly' | [
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"value": "SC Ganguly"
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"id": 7,
"type": "column",
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{
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6,319 | hospital_1 | spider:train_spider.json:3910 | List the name of physicians who took some appointment. | SELECT T2.name FROM appointment AS T1 JOIN physician AS T2 ON T1.Physician = T2.EmployeeID | [
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"type": "column",
"value": "physician"
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... | [
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6,320 | california_schools | bird:dev.json:21 | In Los Angeles how many schools have more than 500 free meals but less than 700 free or reduced price meals for K-12? | SELECT COUNT(CDSCode) FROM frpm WHERE `County Name` = 'Los Angeles' AND `Free Meal Count (K-12)` > 500 AND `FRPM Count (K-12)`< 700 | [
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"type": "column",
"value": "County Name"
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"id": 3,
"type": "value",
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},
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... | [
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6,321 | country_language | bird:test.json:1384 | Show the average overall scores of countries whose official language is "English". | SELECT avg(T1.overall_score) FROM countries AS T1 JOIN official_languages AS T2 ON T1.id = T2.country_id JOIN languages AS T3 ON T2.language_id = T3.id WHERE T3.name = "English" | [
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"id": 5,
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"type": "column",
"value": "language_id"
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{
"id": 8,
"type": "column",
"value": "country_id"
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{
"id": 0,
"type"... | [
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] |
6,322 | books | bird:train.json:6038 | What is the highest price at which a customer bought the book 'The Prophet'? | SELECT MAX(T2.price) FROM book AS T1 INNER JOIN order_line AS T2 ON T1.book_id = T2.book_id WHERE T1.title = 'The Prophet' | [
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] |
6,323 | e_learning | spider:train_spider.json:3819 | Find the the date of enrollment of the "Spanish" course. | SELECT T2.date_of_enrolment FROM Courses AS T1 JOIN Student_Course_Enrolment AS T2 ON T1.course_id = T2.course_id WHERE T1.course_name = "Spanish" | [
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"id": 2,
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"value": "course_name"
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{
"id": 5,
"type": "column",
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{
"id": 1,
... | [
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] |
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