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15,953 | regional_sales | bird:train.json:2693 | How many online purchases did Ole Group make in May 2019? | SELECT SUM(CASE WHEN T1.`Sales Channel` = 'Online' AND T2.`Customer Names` = 'Ole Group' AND T1.OrderDate LIKE '5/%/19' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN Customers AS T2 ON T2.CustomerID = T1._CustomerID | [
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15,954 | twitter_1 | spider:train_spider.json:290 | Find the name of the user who has the largest number of followers. | SELECT name FROM user_profiles ORDER BY followers DESC LIMIT 1 | [
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15,955 | manufactory_1 | spider:train_spider.json:5350 | Select the code of the product that is cheapest in each product category. | SELECT code , name , min(price) FROM products GROUP BY name | [
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15,956 | card_games | bird:dev.json:361 | How many cards of legalities whose status is restricted have text boxes? | SELECT COUNT(DISTINCT T1.id) FROM cards AS T1 INNER JOIN legalities AS T2 ON T1.uuid = T2.uuid WHERE T2.status = 'Restricted' AND T1.isTextless = 0 | [
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15,957 | debit_card_specializing | bird:dev.json:1493 | In February 2012, what percentage of customers consumed more than 528.3? | SELECT CAST(SUM(IIF(Consumption > 528.3, 1, 0)) AS FLOAT) * 100 / COUNT(CustomerID) FROM yearmonth WHERE Date = '201202' | [
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15,958 | student_club | bird:dev.json:1389 | Which event has the lowest 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 ORDER BY T3.cost LIMIT 1 | [
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15,959 | bakery_1 | bird:test.json:1579 | Find all the items that have chocolate flavor but were not bought more than 10 times. | SELECT DISTINCT T1.item FROM items AS T1 JOIN goods AS T2 ON T1.item = T2.id WHERE T2.flavor = "Chocolate" GROUP BY item HAVING count(*) <= 10 | [
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15,960 | card_games | bird:dev.json:486 | What is the percentage of the cards with a converted mana cost of 7 in the set Coldsnap? | SELECT CAST(SUM(CASE WHEN T1.convertedManaCost = 7 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.id) FROM cards AS T1 INNER JOIN sets AS T2 ON T2.code = T1.setCode WHERE T2.name = 'Coldsnap' | [
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15,961 | music_2 | spider:train_spider.json:5236 | What are the albums produced in year 2010? | SELECT * FROM Albums WHERE YEAR = 2010 | [
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15,962 | talkingdata | bird:train.json:1059 | How many events were there on 30th April, 2016? | SELECT COUNT(event_id) FROM events WHERE SUBSTR(`timestamp`, 1, 10) = '2016-04-30' | [
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15,963 | institution_sports | bird:test.json:1664 | What are the names of institutions that have 1 or more championships? | SELECT T2.Name FROM championship AS T1 JOIN institution AS T2 ON T1.Institution_ID = T2.Institution_ID WHERE T1.Number_of_Championships >= 1 | [
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15,964 | restaurant | bird:train.json:1678 | At what numbers on 9th Avenue of San Francisco there are restaurants? | SELECT id_restaurant FROM location WHERE City = 'san francisco' AND street_name = '9th avenue' | [
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15,965 | retail_world | bird:train.json:6374 | What is the most ordered products by customers? | SELECT T1.ProductID FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID GROUP BY T1.ProductID ORDER BY COUNT(*) DESC LIMIT 1 | [
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15,966 | image_and_language | bird:train.json:7574 | State the width and height of the object with the class of 'van' in image 1. | SELECT T1.H, T1.W FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T1.IMG_ID = 1 AND T2.OBJ_CLASS = 'van' | [
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15,967 | insurance_policies | spider:train_spider.json:3858 | Among all the claims, what is the amount claimed in the claim with the least amount settled? List both the settlement amount and claim amount. | SELECT Amount_Settled , Amount_Claimed FROM Claims ORDER BY Amount_Settled ASC LIMIT 1 | [
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15,968 | vehicle_driver | bird:test.json:179 | What are the vehicle ids and models of the vehicle which have been driven by two drivers or been manufactured by 'Ziyang'. | SELECT T1.vehicle_id , T1.model FROM vehicle AS T1 JOIN vehicle_driver AS T2 ON T1.vehicle_id = T2.vehicle_id GROUP BY T2.vehicle_id HAVING count(*) = 2 OR T1.builder = 'Ziyang' | [
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15,969 | college_2 | spider:train_spider.json:1421 | What are the names of courses without prerequisites? | SELECT title FROM course WHERE course_id NOT IN (SELECT course_id FROM prereq) | [
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15,970 | chicago_crime | bird:train.json:8755 | What is the full name of the alderman of ward no.21? | SELECT alderman_first_name, alderman_last_name, alderman_name_suffix FROM Ward WHERE ward_no = 21 | [
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15,971 | art_1 | bird:test.json:1212 | Find the first and last names of all artists who were born after 1850. | SELECT lname , fname FROM artists WHERE birthYear > 1850 | [
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15,972 | city_record | spider:train_spider.json:6285 | What is the city with the smallest GDP? Return the city and its GDP. | SELECT city , GDP FROM city ORDER BY GDP LIMIT 1 | [
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15,973 | soccer_2 | spider:train_spider.json:4972 | Find the players whose names contain letter 'a'. | SELECT DISTINCT pName FROM Player WHERE pName LIKE '%a%' | [
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15,975 | book_publishing_company | bird:train.json:206 | In which country is the publisher of the book "Life Without Fear" located? | SELECT T2.country FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id WHERE T1.title = 'Life Without Fear' | [
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15,976 | riding_club | spider:train_spider.json:1723 | Show the names of sponsors of players whose residence is either "Brandon" or "Birtle". | SELECT Sponsor_name FROM player WHERE Residence = "Brandon" OR Residence = "Birtle" | [
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15,977 | retails | bird:train.json:6910 | Who is the clerk in charge of handling the item with the highest amount of extended price? | SELECT T1.o_clerk FROM orders AS T1 INNER JOIN lineitem AS T2 ON T1.o_orderkey = T2.l_orderkey ORDER BY T2.l_extendedprice DESC LIMIT 1 | [
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15,978 | movies_4 | bird:train.json:502 | Among the zero-budget movie titles, which one has made the highest revenue? | SELECT title FROM movie WHERE budget = 0 ORDER BY revenue DESC LIMIT 1 | [
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15,979 | cre_Docs_and_Epenses | spider:train_spider.json:6450 | Return the budget type codes, budget type descriptions and document ids for documents with expenses. | SELECT T2.budget_type_code , T2.budget_type_description , T1.document_id FROM Documents_with_expenses AS T1 JOIN Ref_budget_codes AS T2 ON T1.budget_type_code = T2.budget_type_code | [
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15,980 | news_report | spider:train_spider.json:2811 | Show the dates, places, and names of events in descending order of the attendance. | SELECT Date , Name , venue FROM event ORDER BY Event_Attendance DESC | [
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15,981 | university | bird:train.json:8110 | What is the ID of university with the largest percentage of international students? | SELECT university_id FROM university_year ORDER BY pct_international_students DESC LIMIT 1 | [
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15,982 | hospital_1 | spider:train_spider.json:3986 | Find the name of physicians who are affiliated with both Surgery and Psychiatry departments. | SELECT T1.name FROM physician AS T1 JOIN affiliated_with AS T2 ON T1.EmployeeID = T2.physician JOIN department AS T3 ON T2.department = T3.DepartmentID WHERE T3.name = 'Surgery' INTERSECT SELECT T1.name FROM physician AS T1 JOIN affiliated_with AS T2 ON T1.EmployeeID = T2.physician JOIN department AS T3 ON T2.d... | [
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15,983 | olympics | bird:train.json:5056 | How many competitors over the age of 30 participated in the 1992 Winter Olympics? | SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '1992 Winter' AND T2.age > 30 | [
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15,984 | toxicology | bird:dev.json:334 | What is the element with the atom ID of TR004_7 in molecule that is not carcinogenic? | SELECT T1.element FROM atom AS T1 INNER JOIN molecule AS T2 ON T1.molecule_id = T2.molecule_id WHERE T1.atom_id = 'TR004_7' AND T2.label = '-' | [
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15,985 | department_management | spider:train_spider.json:3 | What are the maximum and minimum budget of the departments? | SELECT max(budget_in_billions) , min(budget_in_billions) FROM department | [
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15,986 | pilot_1 | bird:test.json:1153 | What is the average age of pilots for different types of planes? | SELECT avg(age) , plane_name FROM pilotskills GROUP BY plane_name | [
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15,987 | loan_1 | spider:train_spider.json:3077 | What are the names and cities of bank branches that offer loans for business? | SELECT T1.bname , T1.city FROM bank AS T1 JOIN loan AS T2 ON T1.branch_id = T2.branch_id WHERE T2.loan_type = 'Business' | [
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15,988 | chinook_1 | spider:train_spider.json:875 | Please list the name and id of all artists that have at least 3 albums in alphabetical order. | SELECT T2.Name , T1.ArtistId FROM ALBUM AS T1 JOIN ARTIST AS T2 ON T1.ArtistId = T2.ArtistID GROUP BY T1.ArtistId HAVING COUNT(*) >= 3 ORDER BY T2.Name | [
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15,989 | superstore | bird:train.json:2454 | Among the orders from 2016 in the Central region, what is the product with the lowest profit? | SELECT T2.`Product Name` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Region = 'Central' AND STRFTIME('%Y', T1.`Order Date`) = '2016' ORDER BY T1.Profit ASC LIMIT 1 | [
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15,990 | bakery_1 | bird:test.json:1526 | What are the flavors of cakes that cost more than 10 dollars? | SELECT flavor FROM goods WHERE food = "Cake" AND price > 10 | [
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15,991 | club_1 | spider:train_spider.json:4303 | Count the number of members in club "Bootup Baltimore" whose age is below 18. | SELECT count(*) FROM club AS t1 JOIN member_of_club AS t2 ON t1.clubid = t2.clubid JOIN student AS t3 ON t2.stuid = t3.stuid WHERE t1.clubname = "Bootup Baltimore" AND t3.age < 18 | [
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15,992 | cre_Doc_Control_Systems | spider:train_spider.json:2105 | What is the description of role code ED? | SELECT role_description FROM ROLES WHERE role_code = "ED"; | [
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15,993 | mondial_geo | bird:train.json:8392 | Which non capital city has the most people of all? | SELECT T3.Name FROM country AS T1 INNER JOIN province AS T2 ON T1.Code = T2.Country INNER JOIN city AS T3 ON T3.Province = T2.Name WHERE T3.Name <> T1.Capital ORDER BY T3.Population DESC LIMIT 1 | [
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15,994 | bakery_1 | bird:test.json:1521 | What is the average price for each food type? | SELECT avg(price) , food FROM goods GROUP BY food | [
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15,995 | food_inspection_2 | bird:train.json:6184 | List the types and results of the inspections done on Riverwalk café. | SELECT T2.inspection_type, T2.results FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.facility_type = 'RIVERWALK CAFE' | [
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15,996 | authors | bird:train.json:3561 | Write down homepage URL of journal for paper "364: Induction of Mixed Chimerism and Transplantation Tolerance in a Non-Human Primate Lung Allograft Model: Early Results". | SELECT T2.HomePage FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id WHERE T1.Title = '364: Induction of Mixed Chimerism and Transplantation Tolerance in a Non-Human Primate Lung Allograft Model: Early Results' | [
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15,997 | airline | bird:train.json:5892 | List the air carrier description and code of the flight with the shortest arrival time. | SELECT T1.Description, T1.Code FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID ORDER BY T2.ARR_TIME ASC LIMIT 1 | [
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15,998 | epinions_1 | spider:train_spider.json:1704 | Find the name of the item with the lowest average rating. | SELECT T1.title FROM item AS T1 JOIN review AS T2 ON T1.i_id = T2.i_id GROUP BY T2.i_id ORDER BY avg(T2.rating) LIMIT 1 | [
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... | [
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15,999 | loan_1 | spider:train_spider.json:3024 | Find the state, account type, and credit score of the customer whose number of loan is 0. | SELECT state , acc_type , credit_score FROM customer WHERE no_of_loans = 0 | [
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16,000 | retail_complains | bird:train.json:391 | In 2015, how many complaints about Billing disputes were sent by clients in Portland? | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Portland' AND T2.`Date received` LIKE '2015%' AND T2.Issue = 'Billing disputes' | [
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16,001 | retails | bird:train.json:6736 | Calculate the total profit made by chocolate floral blue coral cyan. | SELECT SUM(T3.l_extendedprice * (1 - T3.l_discount) - T2.ps_supplycost * T3.l_quantity) FROM part AS T1 INNER JOIN partsupp AS T2 ON T1.p_partkey = T2.ps_partkey INNER JOIN lineitem AS T3 ON T2.ps_partkey = T3.l_partkey AND T2.ps_suppkey = T3.l_suppkey WHERE T1.p_name = 'chocolate floral blue coral cyan' | [
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16,002 | beer_factory | bird:train.json:5258 | Which customer has the most reviews? State the full name. | SELECT T1.First, T1.Last FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID GROUP BY T1.CustomerID ORDER BY COUNT(T2.CustomerID) DESC LIMIT 1 | [
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16,003 | network_2 | spider:train_spider.json:4460 | Find the male friend of Alice whose job is a doctor? | SELECT T2.friend FROM Person AS T1 JOIN PersonFriend AS T2 ON T1.name = T2.friend WHERE T2.name = 'Alice' AND T1.gender = 'male' AND T1.job = 'doctor' | [
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16,004 | regional_sales | bird:train.json:2695 | What is the least purchased product by stores in the city of Santa Clarita? | 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.`City Name` = 'Santa Clarita' GROUP BY T1.`Product Name` ORDER BY COUNT(T1.`Product Name`) ASC LIMIT 1 | [
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16,005 | soccer_2016 | bird:train.json:2027 | How many times did SC Ganguly be the man of the match? | SELECT COUNT(T2.Man_of_the_Match) FROM Player AS T1 INNER JOIN Match AS T2 ON T1.Player_Id = T2.Man_of_the_Match INNER JOIN Player_Match AS T3 ON T3.Player_Id = T1.Player_Id WHERE T1.Player_Name = 'SC Ganguly' | [
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16,006 | app_store | bird:train.json:2568 | Indicate the number of installs and include the percentage of positive sentiments of FREEDOME VPN Unlimited anonymous Wifi Security. | SELECT T1.Installs , CAST(SUM(CASE WHEN T2.Sentiment = 'Positive' THEN 1 ELSE 0 END) * 100 / SUM(CASE WHEN T2.Sentiment IS NOT NULL THEN 1.0 ELSE 0 END) AS REAL) FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'FREEDOME VPN Unlimited anonymous Wifi Security' | [
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16,007 | university | bird:train.json:8006 | What are the names of the top 5 universities with the highest number of international students? | SELECT DISTINCT T2.university_name FROM university_year AS T1 INNER JOIN university AS T2 ON T1.university_id = T2.id ORDER BY (CAST(T1.num_students * T1.pct_international_students AS REAL) / 100) DESC LIMIT 5 | [
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16,008 | music_2 | spider:train_spider.json:5254 | Which vocal type has the band mate with first name "Solveig" played the most? | SELECT TYPE FROM vocals AS T1 JOIN band AS T2 ON T1.bandmate = T2.id WHERE firstname = "Solveig" GROUP BY TYPE ORDER BY count(*) DESC LIMIT 1 | [
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16,009 | voter_2 | spider:train_spider.json:5486 | How many male (sex is M) students have class senator votes in the fall election cycle? | SELECT count(*) FROM STUDENT AS T1 JOIN VOTING_RECORD AS T2 ON T1.StuID = Class_Senator_Vote WHERE T1.Sex = "M" AND T2.Election_Cycle = "Fall" | [
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16,010 | cre_Students_Information_Systems | bird:test.json:484 | Which teacher teaches the most courses? Give me the id of the teacher and the number of courses he or she teaches. | SELECT count(*) , teacher_id FROM Classes GROUP BY teacher_id ORDER BY count(*) DESC LIMIT 1 | [
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16,012 | works_cycles | bird:train.json:7208 | What is the name of the product with the id "475"? | SELECT Name FROM Product WHERE ProductID = 475 | [
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16,013 | software_company | bird:train.json:8571 | List the marital status and response of female customers with an level of education of 8 and above. | SELECT DISTINCT T1.MARITAL_STATUS, T2.RESPONSE FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID WHERE T1.EDUCATIONNUM > 8 AND T1.SEX = 'Female' | [
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16,015 | apartment_rentals | spider:train_spider.json:1223 | Return the booking start date and end date for the apartments that have type code "Duplex". | SELECT T1.booking_start_date , T1.booking_start_date FROM Apartment_Bookings AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.apt_type_code = "Duplex" | [
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16,016 | movie_3 | bird:train.json:9268 | How many different clients have rented materials from Jon Stephens? | SELECT COUNT(T1.customer_id) FROM rental AS T1 INNER JOIN staff AS T2 ON T1.staff_id = T2.staff_id WHERE T2.first_name = 'Jon' AND T2.last_name = 'Stephens' | [
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16,017 | city_record | spider:train_spider.json:6300 | Find the number of matches in different competitions. | SELECT count(*) , Competition FROM MATCH GROUP BY Competition | [
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"id": 1,
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{
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16,018 | software_company | bird:train.json:8529 | What is the average age of first 60,000 customers who sent a true response to the incentive mailing sent by the marketing department? | SELECT AVG(T1.age) FROM Customers AS T1 INNER JOIN Mailings1_2 AS T2 ON T1.ID = T2.REFID WHERE T2.RESPONSE = 'true' | [
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16,019 | computer_student | bird:train.json:1016 | How many professional or master/graduate courses are there? | SELECT COUNT(*) FROM course WHERE courseLevel = 'Level_500' | [
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{
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16,020 | hockey | bird:train.json:7629 | Name the deceased players whose death country is different from his birth country order by birth year. | SELECT firstName, lastName FROM Master WHERE birthCountry != deathCountry ORDER BY birthYear | [
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16,021 | store_1 | spider:train_spider.json:572 | How many albums has Billy Cobam released? | SELECT count(*) FROM albums AS T1 JOIN artists AS T2 ON T1.artist_id = T2.id WHERE T2.name = "Billy Cobham"; | [
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16,023 | simpson_episodes | bird:train.json:4297 | What award did the episode that aired on 11/30/2008 win? | SELECT T1.award FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.result = 'Winner' AND T2.air_date = '2008-11-30'; | [
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{
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16,024 | movie_platform | bird:train.json:161 | What is the average number of followers of the lists created by the user who rated the movie "Pavee Lackeen: The Traveller Girl" on 3/27/2011 at 2:06:34 AM? | SELECT CAST(SUM(T4.list_followers) AS REAL) / COUNT(T2.list_id) FROM ratings AS T1 INNER JOIN lists_users AS T2 ON T1.user_id = T2.user_id INNER JOIN movies AS T3 ON T1.movie_id = T3.movie_id INNER JOIN lists AS T4 ON T2.list_id = T4.list_id WHERE T3.movie_title LIKE 'Pavee Lackeen: The Traveller Girl' AND T1.rating_ti... | [
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... | [
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16,025 | shipping | bird:train.json:5675 | How many shipments were delivered to a customer from New York? | SELECT COUNT(*) FROM shipment AS T1 INNER JOIN customer AS T2 ON T1.cust_id = T2.cust_id WHERE T2.state = 'NY' | [
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"id": 0,
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{
"id": 2,
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16,028 | toxicology | bird:dev.json:264 | What are the labels for TR000, TR001 and TR002? | SELECT molecule_id, T.label FROM molecule AS T WHERE T.molecule_id IN ('TR000', 'TR001', 'TR002') | [
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] | [
{
"id": 1,
"type": "column",
"value": "molecule_id"
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{
"id": 0,
"type": "table",
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{
"id": 2,
"type": "column",
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{
"id": 3,
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"value": "TR000"
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16,029 | university | bird:train.json:7989 | How many state universities are there? | SELECT COUNT(*) FROM university WHERE university_name LIKE '%State%' | [
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"are",
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"?"
] | [
{
"id": 1,
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{
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"type": "table",
"value": "university"
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{
"id": 2,
"type": "value",
"value": "%State%"
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16,030 | movie_1 | spider:train_spider.json:2455 | What are the names of the directors who created a movie with a 5 star rating, and what was the name of those movies? | SELECT T1.director , T1.title FROM Movie AS T1 JOIN Rating AS T2 ON T1.mID = T2.mID WHERE T2.stars = 5 | [
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16,031 | student_club | bird:dev.json:1377 | How many student have the position of president? | SELECT COUNT(member_id) FROM member WHERE position = 'President' | [
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"type": "value",
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"value": "position"
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{
"id": 0,
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16,032 | customers_card_transactions | spider:train_spider.json:691 | How many customers do we have? | SELECT count(*) FROM Customers | [
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"we",
"have",
"?"
] | [
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"id": 0,
"type": "table",
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16,033 | computer_student | bird:train.json:1021 | Among the faculty affiliated professor, how many professors teaches professional or master/undergraduate courses? | SELECT COUNT(*) FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id INNER JOIN course AS T3 ON T3.course_id = T2.course_id WHERE T1.hasPosition = 'Faculty_aff' AND T1.professor = 1 AND T3.courseLevel = 'Level_500' | [
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"id": 3,
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"O",
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] |
16,034 | bakery_1 | bird:test.json:1495 | List the distinct ids of all customers who bought a cake with lemon flavor? | SELECT DISTINCT T3.CustomerId FROM goods AS T1 JOIN items AS T2 ON T1.Id = T2.Item JOIN receipts AS T3 ON T2.Receipt = T3.ReceiptNumber WHERE T1.Flavor = "Lemon" AND T1.Food = "Cake" | [
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16,035 | public_review_platform | bird:train.json:3943 | List the category of the business with high review count but received 2 stars. | SELECT T3.category_name FROM Business AS T1 INNER JOIN Business_Categories ON T1.business_id = Business_Categories.business_id INNER JOIN Categories AS T3 ON Business_Categories.category_id = T3.category_id WHERE T1.stars = 2 AND T1.review_count LIKE 'High' | [
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"id": 7,
"type": "column",
"value": "review_count"
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{
"id": 4,
"type": "column",
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16,036 | car_retails | bird:train.json:1585 | List the product code of the top five motorcycles, by descending order, the number of quantity in stock. | SELECT productCode, quantityInStock FROM products WHERE productLine = 'Motorcycles' ORDER BY quantityInStock DESC LIMIT 5 | [
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] |
16,037 | donor | bird:train.json:3152 | Name the project titles meant for school whereby 65% of the students are on reduced lunch. | SELECT T1.title FROM essays AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.poverty_level LIKE 'highest%' | [
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] | [
{
"id": 3,
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"id": 5,
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{
"id": 2,
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"value": "projects"
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{
"id": 4,
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"value": "highest%"
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] |
16,038 | music_1 | spider:train_spider.json:3579 | Give me a list of the names of all songs ordered by their resolution. | SELECT song_name FROM song ORDER BY resolution | [
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] | [
{
"id": 2,
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"value": "resolution"
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{
"id": 1,
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"value": "song_name"
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{
"id": 0,
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"value": "song"
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] |
16,039 | mondial_geo | bird:train.json:8226 | List the infant mortality of country with the least Amerindian. | SELECT T1.Infant_Mortality FROM population AS T1 INNER JOIN ethnicGroup AS T2 ON T1.Country = T2.Country WHERE T2.Name = 'Amerindian' ORDER BY T2.Percentage ASC LIMIT 1 | [
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] | [
{
"id": 0,
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{
"id": 2,
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{
"id": 1,
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{
"id": 4,
"type": "value",
"value": "Amerindian"
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"id": 5,
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] |
16,040 | apartment_rentals | spider:train_spider.json:1244 | Show the addresses of the buildings that have apartments with more than 2 bathrooms. | SELECT T1.building_address FROM Apartment_Buildings AS T1 JOIN Apartments AS T2 ON T1.building_id = T2.building_id WHERE T2.bathroom_count > 2 | [
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] | [
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"value": "bathroom_count"
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{
"id": 5,
"type": "column",
"value": "building_id"
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{
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16,041 | music_4 | spider:train_spider.json:6197 | How many distinct artists have volumes? | SELECT COUNT(DISTINCT Artist_ID) FROM volume | [
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"distinct",
"artists",
"have",
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"?"
] | [
{
"id": 1,
"type": "column",
"value": "artist_id"
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{
"id": 0,
"type": "table",
"value": "volume"
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] | [
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16,042 | aircraft | spider:train_spider.json:4825 | List the names of aircrafts and the number of times it won matches. | SELECT T1.Aircraft , COUNT(*) FROM aircraft AS T1 JOIN MATCH AS T2 ON T1.Aircraft_ID = T2.Winning_Aircraft GROUP BY T2.Winning_Aircraft | [
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] | [
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"id": 0,
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"value": "aircraft"
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"value": "aircraft"
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16,043 | regional_sales | bird:train.json:2612 | How many furniture cushions orders which have date of order in 2018? | SELECT SUM(CASE WHEN T1.OrderDate LIKE '%/%/18' AND T2.`Product Name` = 'Furniture Cushions' THEN 1 ELSE 0 END) FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID | [
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"id": 9,
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16,044 | farm | spider:train_spider.json:54 | Show the census ranking of cities whose status are not "Village". | SELECT Census_Ranking FROM city WHERE Status != "Village" | [
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"id": 2,
"type": "column",
"value": "status"
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"id": 0,
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"value": "city"
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16,045 | superhero | bird:dev.json:805 | List the full names of superheroes with missing weight. | SELECT DISTINCT full_name FROM superhero WHERE full_name IS NOT NULL AND (weight_kg IS NULL OR weight_kg = 0) | [
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"id": 0,
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"value": "superhero"
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"id": 1,
"type": "column",
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"id": 2,
"type": "column",
"value": "weight_kg"
},
{
"id": 3,
"type": "value",
"value": "0"
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16,046 | mondial_geo | bird:train.json:8433 | What is the population gap between the United Kingdom and Italy? | SELECT MAX(Population) - MIN(Population) FROM country WHERE Name = 'United Kingdom' OR Name = 'Italy' | [
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] | [
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"id": 2,
"type": "value",
"value": "United Kingdom"
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"id": 4,
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"value": "population"
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{
"id": 0,
"type": "table",
"value": "country"
},
{
"id": 3,
"type": "value",
"value": "Italy"
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"id": 1,
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"v... | [
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] |
16,047 | superhero | bird:dev.json:825 | Identify the gender of the superhero who has the ability of Phoenix Force. | SELECT T4.gender FROM superhero AS T1 INNER JOIN hero_power AS T2 ON T1.id = T2.hero_id INNER JOIN superpower AS T3 ON T2.power_id = T3.id INNER JOIN gender AS T4 ON T1.gender_id = T4.id WHERE T3.power_name = 'Phoenix Force' | [
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] | [
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"id": 3,
"type": "value",
"value": "Phoenix Force"
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"id": 2,
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"value": "power_name"
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"id": 4,
"type": "table",
"value": "superpower"
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{
"id": 8,
"type": "table",
"value": "hero_power"
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] |
16,048 | european_football_2 | bird:dev.json:1127 | Locate players with vision scores of 90 and above, state the country of these players. | SELECT DISTINCT t4.name FROM Player_Attributes AS t1 INNER JOIN Player AS t2 ON t1.player_api_id = t2.player_api_id INNER JOIN Match AS t3 ON t2.player_api_id = t3.home_player_8 INNER JOIN Country AS t4 ON t3.country_id = t4.id WHERE t1.vision > 89 | [
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] | [
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"value": "player_attributes"
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"type": "column",
"value": "player_api_id"
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"id": 10,
"type": "column",
"value": "home_player_8"
},
{
"id": 5,
"type": "column",
"value": "country_id"
},
{
"id": 1,
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"O"
] |
16,049 | food_inspection | bird:train.json:8792 | Which business had the most number of high risk violations? Give the name of the business. | SELECT T2.name FROM violations AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T1.risk_category = 'High Risk' GROUP BY T2.name ORDER BY COUNT(T2.name) DESC LIMIT 1 | [
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] | [
{
"id": 3,
"type": "column",
"value": "risk_category"
},
{
"id": 5,
"type": "column",
"value": "business_id"
},
{
"id": 1,
"type": "table",
"value": "violations"
},
{
"id": 2,
"type": "table",
"value": "businesses"
},
{
"id": 4,
"type": "value"... | [
{
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},
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},
{
"entity_id": 4,
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},
{
... | [
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"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O"
] |
16,050 | thrombosis_prediction | bird:dev.json:1199 | How many patients who underwent testing in 1997 had protein levels outside the normal range? | SELECT COUNT(ID) FROM Laboratory WHERE (ALB <= 6.0 OR ALB >= 8.5) AND STRFTIME('%Y', Date) = '1997' | [
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] | [
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{
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"type": "value",
"value": "1997"
},
{
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"value": "date"
},
{
"id": 3,
"type": "column",
"value": "alb"
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{
"id": 4,
"type": "value",
"value": "6.0"
... | [
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... | [
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"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
16,051 | music_1 | spider:train_spider.json:3540 | What are the file sizes and formats for all songs with a resolution lower than 800? | SELECT DISTINCT T1.file_size , T1.formats FROM files AS T1 JOIN song AS T2 ON T1.f_id = T2.f_id WHERE T2.resolution < 800 | [
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"?"
] | [
{
"id": 4,
"type": "column",
"value": "resolution"
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{
"id": 0,
"type": "column",
"value": "file_size"
},
{
"id": 1,
"type": "column",
"value": "formats"
},
{
"id": 2,
"type": "table",
"value": "files"
},
{
"id": 3,
"type": "table",
"value... | [
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{
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{
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... | [
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"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O"
] |
16,052 | food_inspection | bird:train.json:8838 | How many of the businesses are located at 1825 POST St #223, San Francisco? | SELECT COUNT(business_id) FROM businesses WHERE address = '1825 POST St #223' AND city = 'SAN FRANCISCO' | [
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",",
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"?"
] | [
{
"id": 3,
"type": "value",
"value": "1825 POST St #223"
},
{
"id": 5,
"type": "value",
"value": "SAN FRANCISCO"
},
{
"id": 1,
"type": "column",
"value": "business_id"
},
{
"id": 0,
"type": "table",
"value": "businesses"
},
{
"id": 2,
"type": "... | [
{
"entity_id": 0,
"token_idxs": [
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},
{
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10,
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"I-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"B-VALUE",
"I-VALUE",
"O"
] |
16,053 | public_review_platform | bird:train.json:3890 | What is the closing and opening time of businesses located at Tempe with highest star rating? | SELECT T2.closing_time, T2.opening_time FROM Business AS T1 INNER JOIN Business_Hours AS T2 ON T1.business_id = T2.business_id WHERE T1.city LIKE 'Tempe' ORDER BY T1.stars DESC LIMIT 1 | [
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"time",
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"at",
"Tempe",
"with",
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"star",
"rating",
"?"
] | [
{
"id": 3,
"type": "table",
"value": "business_hours"
},
{
"id": 0,
"type": "column",
"value": "closing_time"
},
{
"id": 1,
"type": "column",
"value": "opening_time"
},
{
"id": 7,
"type": "column",
"value": "business_id"
},
{
"id": 2,
"type": "... | [
{
"entity_id": 0,
"token_idxs": [
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},
{
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6
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},
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},
{
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},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id":... | [
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"B-TABLE",
"O",
"O",
"B-VALUE",
"O",
"O",
"B-COLUMN",
"O",
"O"
] |
16,054 | authors | bird:train.json:3556 | How many of the papers are preprinted or not published? | SELECT COUNT(Id) FROM Paper WHERE Year = 0 | [
"How",
"many",
"of",
"the",
"papers",
"are",
"preprinted",
"or",
"not",
"published",
"?"
] | [
{
"id": 0,
"type": "table",
"value": "paper"
},
{
"id": 1,
"type": "column",
"value": "year"
},
{
"id": 3,
"type": "column",
"value": "id"
},
{
"id": 2,
"type": "value",
"value": "0"
}
] | [
{
"entity_id": 0,
"token_idxs": [
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},
{
"entity_id": 1,
"token_idxs": []
},
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"entity_id": 2,
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},
{
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},
{
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"token_idxs": []
},
{
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"token_idxs": []
},
{
... | [
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"O"
] |
16,055 | flight_1 | spider:train_spider.json:432 | What are the names of the aircraft that the least people are certified to fly? | SELECT T2.name FROM Certificate AS T1 JOIN Aircraft AS T2 ON T2.aid = T1.aid GROUP BY T1.aid ORDER BY count(*) DESC LIMIT 1 | [
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"people",
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"to",
"fly",
"?"
] | [
{
"id": 2,
"type": "table",
"value": "certificate"
},
{
"id": 3,
"type": "table",
"value": "aircraft"
},
{
"id": 1,
"type": "column",
"value": "name"
},
{
"id": 0,
"type": "column",
"value": "aid"
}
] | [
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
3
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},
{
"entity_id": 2,
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12
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},
{
"entity_id": 3,
"token_idxs": [
6
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
... | [
"O",
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"O",
"B-COLUMN",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O"
] |
16,056 | architecture | spider:train_spider.json:6950 | What are the distinct names and nationalities of the architects who have ever built a mill? | SELECT DISTINCT T1.name , T1.nationality FROM architect AS T1 JOIN mill AS t2 ON T1.id = T2.architect_id | [
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"are",
"the",
"distinct",
"names",
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"architects",
"who",
"have",
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"built",
"a",
"mill",
"?"
] | [
{
"id": 5,
"type": "column",
"value": "architect_id"
},
{
"id": 1,
"type": "column",
"value": "nationality"
},
{
"id": 2,
"type": "table",
"value": "architect"
},
{
"id": 0,
"type": "column",
"value": "name"
},
{
"id": 3,
"type": "table",
"... | [
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
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6
]
},
{
"entity_id": 2,
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9
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},
{
"entity_id": 3,
"token_idxs": [
15
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity... | [
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"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
16,057 | law_episode | bird:train.json:1267 | How many episodes did J.K. Simmons' role appear on the show? | SELECT COUNT(T1.role) FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T2.name = 'J.K. Simmons' | [
"How",
"many",
"episodes",
"did",
"J.K.",
"Simmons",
"'",
"role",
"appear",
"on",
"the",
"show",
"?"
] | [
{
"id": 3,
"type": "value",
"value": "J.K. Simmons"
},
{
"id": 5,
"type": "column",
"value": "person_id"
},
{
"id": 0,
"type": "table",
"value": "credit"
},
{
"id": 1,
"type": "table",
"value": "person"
},
{
"id": 2,
"type": "column",
"valu... | [
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
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9
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},
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4,
5
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},
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},
{
"en... | [
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"O",
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"I-VALUE",
"O",
"B-COLUMN",
"B-TABLE",
"I-TABLE",
"O",
"O",
"O"
] |
16,059 | shakespeare | bird:train.json:3005 | What is the description of the chapter where the character whose abrreviated name is 1Play appeared first? | SELECT T2.Description FROM paragraphs AS T1 INNER JOIN chapters AS T2 ON T1.chapter_id = T2.id INNER JOIN characters AS T3 ON T1.character_id = T3.id WHERE T3.Abbrev = '1Play' ORDER BY T1.chapter_id LIMIT 1 | [
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"the",
"description",
"of",
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"chapter",
"where",
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"character",
"whose",
"abrreviated",
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"is",
"1Play",
"appeared",
"first",
"?"
] | [
{
"id": 7,
"type": "column",
"value": "character_id"
},
{
"id": 0,
"type": "column",
"value": "description"
},
{
"id": 1,
"type": "table",
"value": "characters"
},
{
"id": 4,
"type": "column",
"value": "chapter_id"
},
{
"id": 5,
"type": "table"... | [
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
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},
{
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},
{
"entity_id": 3,
"token_idxs": [
14
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entit... | [
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"O",
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"O",
"O",
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"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"O",
"B-VALUE",
"O",
"O",
"O"
] |
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