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4,733 | books | bird:train.json:6109 | What are the language and title of the ordered books with price less than 20% of the average price of all ordered books? | SELECT DISTINCT T3.language_name, T2.title FROM order_line AS T1 INNER JOIN book AS T2 ON T1.book_id = T2.book_id INNER JOIN book_language AS T3 ON T3.language_id = T2.language_id WHERE T1.price * 100 < ( SELECT AVG(price) FROM order_line ) * 20 | [
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4,734 | college_1 | spider:train_spider.json:3225 | how many schools exist in total? | SELECT count(DISTINCT school_code) FROM department | [
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4,735 | works_cycles | bird:train.json:7098 | If we discount the products that do not have any type of offer, how many different products have been sold in an amount greater than 2 units per order? | SELECT COUNT(DISTINCT T1.ProductID) FROM SalesOrderDetail AS T1 INNER JOIN SpecialOfferProduct AS T2 ON T1.SpecialOfferID = T2.SpecialOfferID INNER JOIN SpecialOffer AS T3 ON T2.SpecialOfferID = T3.SpecialOfferID WHERE T1.OrderQty > 2 AND T1.UnitPriceDiscount = 0 | [
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4,736 | retail_world | bird:train.json:6375 | Which territories is the employee with a doctorate in charge of? List all of the territory descriptions. | SELECT T3.TerritoryDescription FROM Employees AS T1 INNER JOIN EmployeeTerritories AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN Territories AS T3 ON T2.TerritoryID = T3.TerritoryID WHERE T1.TitleOfCourtesy = 'Dr.' | [
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4,737 | world | bird:train.json:7871 | Calculate the average GNP of all countries that use Arabic language. | SELECT AVG(T1.GNP) FROM Country AS T1 INNER JOIN CountryLanguage AS T2 ON T1.Code = T2.CountryCode WHERE T2.Language = 'Arabic' | [
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4,738 | music_platform_2 | bird:train.json:7980 | Which category is the podcast "Scaling Global" under? | SELECT category FROM categories WHERE podcast_id IN ( SELECT podcast_id FROM podcasts WHERE title = 'Scaling Global' ) | [
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4,739 | movie_3 | bird:train.json:9238 | What is the store and inventory ID of the film with the longest duration? | SELECT T2.store_id, T2.inventory_id FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id ORDER BY T1.length DESC LIMIT 1 | [
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4,740 | ice_hockey_draft | bird:train.json:6927 | What is the BMI of David Bornhammar? | SELECT CAST(T2.weight_in_kg AS REAL) / (CAST(T3.height_in_cm AS REAL) / 100 * (CAST(T3.height_in_cm AS REAL) / 100)) FROM PlayerInfo AS T1 INNER JOIN weight_info AS T2 ON T1.weight = T2.weight_id INNER JOIN height_info AS T3 ON T1.height = T3.height_id WHERE T1.PlayerName = 'David Bornhammar' | [
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4,742 | food_inspection | bird:train.json:8826 | When did eateries from San Bruno city get highest score in inspection? | SELECT T1.`date` FROM inspections AS T1 INNER JOIN businesses AS T2 ON T1.business_id = T2.business_id WHERE T2.city = 'SAN BRUNO' ORDER BY T1.score DESC LIMIT 1 | [
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4,743 | online_exams | bird:test.json:221 | List each gender and the corresponding number of students. | SELECT Gender_MFU , COUNT(*) FROM Students GROUP BY Gender_MFU | [
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4,744 | movie_platform | bird:train.json:114 | How many movies did the director of the highest movie popularity make? | SELECT COUNT(movie_id) FROM movies WHERE director_id = ( SELECT director_id FROM movies ORDER BY movie_popularity DESC LIMIT 1 ) | [
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4,745 | ice_hockey_draft | bird:train.json:6991 | Name the player who had the most goals for team Rimouski Oceanic in playoff. | SELECT T1.PlayerName FROM PlayerInfo AS T1 INNER JOIN SeasonStatus AS T2 ON T1.ELITEID = T2.ELITEID WHERE T2.TEAM = 'Rimouski Oceanic' AND T2.GAMETYPE = 'Playoffs' ORDER BY T2.G DESC LIMIT 1 | [
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4,746 | simpson_episodes | bird:train.json:4250 | Please list the name of crew that were born before 1970. | SELECT name FROM Person WHERE SUBSTR(birthdate, 1, 4) < '1970'; | [
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4,747 | image_and_language | bird:train.json:7550 | How many samples of clouds are there in the image no.2315533? | SELECT SUM(CASE WHEN T1.IMG_ID = 2315533 THEN 1 ELSE 0 END) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'clouds' | [
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4,748 | mondial_geo | bird:train.json:8422 | In which lake flows the river that is, in turn, the mouth of the Manicouagan River? | SELECT NAME FROM lake WHERE river = ( SELECT river FROM river WHERE NAME = 'Manicouagan' ) | [
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4,749 | local_govt_in_alabama | spider:train_spider.json:2140 | How many events have each participants attended? List the participant id, type and the number. | SELECT T1.Participant_ID , T1.Participant_Type_Code , count(*) FROM Participants AS T1 JOIN Participants_in_Events AS T2 ON T1.Participant_ID = T2.Participant_ID GROUP BY T1.Participant_ID | [
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4,750 | tracking_share_transactions | spider:train_spider.json:5860 | Return the lot details and investor ids. | SELECT lot_details , investor_id FROM LOTS | [
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"id": 1,
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4,751 | public_review_platform | bird:train.json:3853 | Please list the business IDs of all the Yelp_Businesses that are good for kids. | SELECT T2.business_id FROM Attributes AS T1 INNER JOIN Business_Attributes AS T2 ON T1.attribute_id = T2.attribute_id WHERE T1.attribute_name LIKE 'Good for Kids' AND T2.attribute_value LIKE 'TRUE' | [
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4,752 | language_corpus | bird:train.json:5813 | Among the wikipedia pages on Catalan with more than 300 different words, how many of them have a revision ID of over 28330000? | SELECT COUNT(lid) FROM pages WHERE lid = 1 AND words > 300 AND revision > 28330000 | [
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4,753 | cinema | spider:train_spider.json:1938 | Show all the cinema names and opening years in descending order of opening year. | SELECT name , openning_year FROM cinema ORDER BY openning_year DESC | [
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4,754 | aan_1 | bird:test.json:1044 | How many papers has each affiliation published? | SELECT count(DISTINCT T2.paper_id) , T1.name FROM Affiliation AS T1 JOIN Author_list AS T2 ON T1.affiliation_id = T2.affiliation_id GROUP BY T1.affiliation_id | [
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4,755 | restaurant | bird:train.json:1758 | Among the bakeries, what is total number of bakery located at University Avenue, Palo Alto? | SELECT COUNT(T1.id_restaurant) FROM location AS T1 INNER JOIN generalinfo AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.food_type = 'bakery' AND T2.city = 'palo alto' AND T1.street_name = 'university ave.' | [
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4,756 | local_govt_in_alabama | spider:train_spider.json:2143 | List the type of the services in alphabetical order. | SELECT service_type_code FROM services ORDER BY service_type_code | [
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4,757 | hockey | bird:train.json:7644 | What is given name for player 'aebisda01'. Calculate the average time in minutes for the all his games played as goaltender. | SELECT T1.nameGiven, CAST(SUM(T2.Min) AS REAL) / SUM(T2.GP) FROM Master AS T1 INNER JOIN Goalies AS T2 ON T1.playerID = T2.playerID WHERE T1.playerID = 'aebisda01' GROUP BY T1.nameGiven | [
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4,758 | authors | bird:train.json:3680 | Mention the name of author for paper id 5 and state the keyword of this page. | SELECT T1.Name, T3.Keyword FROM Author AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.AuthorId INNER JOIN Paper AS T3 ON T2.PaperId = T3.Id WHERE T2.PaperId = 5 | [
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4,759 | codebase_community | bird:dev.json:697 | What is the reputation and view count of the user, who is known by his or her display name 'Jarrod Dixon'? | SELECT Reputation, Views FROM users WHERE DisplayName = 'Jarrod Dixon' | [
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4,760 | bbc_channels | bird:test.json:128 | Find the name and website link of the channels that have more than one program. | SELECT t1.name , t1.internet FROM channel AS t1 JOIN program AS t2 ON t1.channel_id = t2.channel_id GROUP BY t1.channel_id HAVING count(*) > 1 | [
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4,761 | authors | bird:train.json:3598 | List the names of authors affiliated with the University of Oxford in alphabetical order. | SELECT Name FROM Author WHERE Affiliation = 'University of Oxford' ORDER BY Name ASC | [
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4,762 | pilot_1 | bird:test.json:1141 | What are the names and ages of pilots who own plane Piper Cub and are older than 35, or have F-14 Fighter and are younger than 30? | SELECT pilot_name , age FROM pilotskills WHERE plane_name = 'Piper Cub' AND age > 35 UNION SELECT pilot_name , age FROM pilotskills WHERE plane_name = 'F-14 Fighter' AND age < 30 | [
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4,763 | works_cycles | bird:train.json:7410 | What is the hashed password of David Bradley? | SELECT T2.PasswordHash FROM Person AS T1 INNER JOIN Password AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.FirstName = 'David' AND T1.LastName = 'Bradley' | [
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4,764 | card_games | bird:dev.json:459 | Which card costs more converted mana, "Serra Angel" or "Shrine Keeper"? | SELECT name FROM cards WHERE name IN ('Serra Angel', 'Shrine Keeper') ORDER BY convertedManaCost DESC LIMIT 1 | [
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4,765 | bike_share_1 | bird:train.json:9025 | List down the trip IDs when bike no. 10 was used by subscribers and the weather's mean temperature is no less than 62 degress Fahrenheit. | SELECT T1.id FROM trip AS T1 INNER JOIN weather AS T2 ON T2.zip_code = T1.zip_code WHERE T1.bike_id = 10 AND T2.mean_temperature_f > 62 AND T1.subscription_type = 'Subscriber' | [
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4,766 | coinmarketcap | bird:train.json:6278 | What's the descripition of BitBar? | SELECT description FROM coins WHERE name = 'BitBar' | [
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4,767 | medicine_enzyme_interaction | spider:train_spider.json:936 | What are the names of enzymes in descending order? | SELECT name FROM enzyme ORDER BY name DESC | [
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4,768 | products_gen_characteristics | spider:train_spider.json:5579 | Return the unit of measure for 'Herb' products. | SELECT unit_of_measure FROM ref_product_categories WHERE product_category_code = "Herbs" | [
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4,769 | retail_world | bird:train.json:6319 | Of all the products ordered in order no. 10248, which product has the highest user satisfaction? | SELECT T1.ProductName FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID WHERE T2.OrderID = 10248 ORDER BY T1.ReorderLevel DESC LIMIT 1 | [
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4,770 | baseball_1 | spider:train_spider.json:3689 | How many games were played in park "Columbia Park" in 1907? | SELECT count(*) FROM home_game AS T1 JOIN park AS T2 ON T1.park_id = T2.park_id WHERE T1.year = 1907 AND T2.park_name = 'Columbia Park'; | [
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4,771 | inn_1 | spider:train_spider.json:2597 | For each bed type, find the average base price of different bed type. | SELECT bedType , avg(basePrice) FROM Rooms GROUP BY bedType; | [
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4,772 | card_games | bird:dev.json:417 | What percentage of Japanese translated sets are expansion sets? | SELECT CAST(SUM(CASE WHEN T2.language = 'Japanese' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.id) FROM sets AS T1 INNER JOIN set_translations AS T2 ON T1.code = T2.setCode WHERE T1.type = 'expansion' | [
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4,773 | restaurant | bird:train.json:1780 | In which region can you find the highest number of Baskin Robbins restaurants? | SELECT T2.region AS num FROM generalinfo AS T1 INNER JOIN geographic AS T2 ON T1.city = T2.city WHERE T1.label = 'baskin robbins' GROUP BY T2.region ORDER BY COUNT(T1.city) DESC LIMIT 1 | [
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4,774 | driving_school | spider:train_spider.json:6677 | How many lessons did the customer Ryan Goodwin complete? | SELECT count(*) FROM Lessons AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = "Rylan" AND T2.last_name = "Goodwin" AND T1.lesson_status_code = "Completed"; | [
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4,775 | institution_sports | bird:test.json:1645 | List the names of institutions in ascending order of founded year. | SELECT Name FROM institution ORDER BY Founded ASC | [
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4,776 | public_review_platform | bird:train.json:3822 | How many users who started yelping since 2012 have sent a high number of funny votes? | SELECT COUNT(user_id) FROM Users WHERE user_yelping_since_year = 2012 AND user_votes_funny LIKE 'High' | [
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4,777 | student_1 | spider:train_spider.json:4040 | Find the grade studying in room 105. | SELECT DISTINCT grade FROM list WHERE classroom = 105 | [
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4,778 | pilot_1 | bird:test.json:1152 | What are the names of pilots who have either the Piper Cub or the F-14 Fighter? | SELECT pilot_name FROM pilotskills WHERE plane_name = 'Piper Cub' OR plane_name = 'F-14 Fighter' | [
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4,779 | airline | bird:train.json:5837 | How many flights on average does American Airlines Inc. operate every day in August, 2018? | SELECT CAST( SUM(CASE WHEN T2.FL_DATE LIKE '2018/8%' THEN 1 ELSE 0 END) AS REAL) / 31 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 T3.Description = 'American Airlines Inc.: AA' | [
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4,780 | gymnast | spider:train_spider.json:1773 | Count the number of different hometowns of these people. | SELECT count(DISTINCT Hometown) FROM people | [
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4,781 | icfp_1 | spider:train_spider.json:2859 | Count the number of authors. | SELECT count(*) FROM authors | [
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4,782 | olympics | bird:train.json:5044 | What is the name of medal that competitor id 9 obtained? | SELECT DISTINCT T1.medal_name FROM medal AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.medal_id WHERE T2.competitor_id = 9 | [
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4,783 | bike_share_1 | bird:train.json:9039 | List the name and city of starting stations which has an above-average duration trips. | SELECT DISTINCT T1.start_station_name, T2.city FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.duration > ( SELECT AVG(T1.duration) FROM trip AS T1 LEFT JOIN station AS T2 ON T2.name = T1.start_station_name ) | [
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4,784 | public_review_platform | bird:train.json:3838 | How many businesses in AZ state do not open on Thursday? | SELECT COUNT(T1.business_id) FROM Business AS T1 INNER JOIN Checkins AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T2.label_time_4 LIKE 'None' AND T1.state LIKE 'AZ' AND T3.day_of_week LIKE 'Thursday' | [
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4,785 | retail_world | bird:train.json:6351 | Which region is "Columbia" in? | SELECT T2.RegionDescription FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID WHERE T1.TerritoryDescription = 'Columbia' | [
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4,786 | bike_1 | spider:train_spider.json:186 | What are the dates that have the 5 highest cloud cover rates and what are the rates? | SELECT date , cloud_cover FROM weather ORDER BY cloud_cover DESC LIMIT 5 | [
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4,787 | soccer_2 | spider:train_spider.json:4982 | Find the name of different colleges involved in the tryout in alphabetical order. | SELECT DISTINCT cName FROM tryout ORDER BY cName | [
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4,788 | tracking_share_transactions | spider:train_spider.json:5871 | Show the average amount of transactions for different lots. | SELECT T2.lot_id , avg(amount_of_transaction) FROM TRANSACTIONS AS T1 JOIN Transactions_Lots AS T2 ON T1.transaction_id = T2.transaction_id GROUP BY T2.lot_id | [
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4,789 | codebase_community | bird:dev.json:569 | Give the number of votes for the post about data visualization. | SELECT COUNT(T1.Id) FROM posts AS T1 INNER JOIN votes AS T2 ON T1.Id = T2.PostId WHERE T1.Title LIKE '%data visualization%' | [
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4,790 | conference | bird:test.json:1071 | Show the institution name and location of institution that is most recently founded. | SELECT institution_name , LOCATION FROM institution ORDER BY founded DESC LIMIT 1 | [
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4,791 | ship_mission | spider:train_spider.json:4021 | What are the names of ships that were involved in a mission launched after 1928? | SELECT T2.Name FROM mission AS T1 JOIN ship AS T2 ON T1.Ship_ID = T2.Ship_ID WHERE T1.Launched_Year > 1928 | [
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4,792 | hockey | bird:train.json:7790 | Among the players who had 10 empty net goals in their career, who is the tallest? Show his full name. | SELECT T2.firstName, T2.lastName FROM Goalies AS T1 INNER JOIN Master AS T2 ON T1.playerID = T2.playerID WHERE T1.ENG = 10 ORDER BY T2.height DESC LIMIT 1 | [
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4,793 | debit_card_specializing | bird:dev.json:1483 | How much did customer 6 consume in total between August and November 2013? | SELECT SUM(Consumption) FROM yearmonth WHERE CustomerID = 6 AND Date BETWEEN '201308' AND '201311' | [
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4,794 | ship_1 | spider:train_spider.json:6227 | What are the names of captains, sorted by age descending? | SELECT name FROM captain ORDER BY age DESC | [
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4,795 | country_language | bird:test.json:1370 | How many different official languages are there? | SELECT count(DISTINCT language_id) FROM official_languages | [
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4,796 | driving_school | spider:train_spider.json:6686 | What is zip code of customer with first name as Carole and last name as Bernhard? | SELECT T2.zip_postcode FROM Customers AS T1 JOIN Addresses AS T2 ON T1.customer_address_id = T2.address_id WHERE T1.first_name = "Carole" AND T1.last_name = "Bernhard" | [
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4,797 | cre_Docs_and_Epenses | spider:train_spider.json:6390 | Count the number of statements. | SELECT count(*) FROM Statements | [
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"id": 0,
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4,798 | shakespeare | bird:train.json:2984 | Gives the average number of chapters in Shakespeare's 1599 work. | SELECT CAST(COUNT(T1.id) AS REAL) / COUNT(DISTINCT T2.id) FROM chapters AS T1 INNER JOIN works AS T2 ON T1.work_id = T2.id WHERE T2.Date = '1599' | [
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4,799 | donor | bird:train.json:3279 | How many schools in Brooklyn with urban metro and donations for an honoree have requested TT992 - Refill Pack for Safety Name Tags as a resource? | SELECT COUNT(T2.schoolid) FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid INNER JOIN donations AS T3 ON T2.projectid = T3.projectid WHERE T2.school_city = 'Brooklyn' AND T2.school_metro = 'urban' AND T3.for_honoree = 't' AND T1.item_name = 'TT992 - Refill Pack for Safety Name Tags' | [
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4,800 | professional_basketball | bird:train.json:2815 | Between the years 1990 and 2007, of the total rebounds achieved by each player, how many managed to exceed 75% of defensive rebounds? | SELECT COUNT(DISTINCT playerID) FROM player_allstar WHERE CAST(d_rebounds AS REAL) * 100 / rebounds > 75 AND season_id BETWEEN 1990 AND 2007 | [
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4,801 | regional_sales | bird:train.json:2649 | Which product was ordered the most in 2018? | SELECT T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID WHERE T1.OrderDate LIKE '%/%/18' GROUP BY T1._ProductID ORDER BY COUNT(T1._ProductID) DESC LIMIT 1 | [
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4,802 | olympics | bird:train.json:4923 | In which year did London hold its earliest Olympic game? | SELECT T3.games_year FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'London' ORDER BY T3.games_year LIMIT 1 | [
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4,804 | superstore | bird:train.json:2347 | Among all the orders made by Aimee Bixby, how many of them chose the slowest delivery speed? | SELECT COUNT(DISTINCT T2.`Order ID`) FROM people AS T1 INNER JOIN central_superstore AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Customer Name` = 'Aimee Bixby' AND T2.`Ship Mode` = 'Standard Class' | [
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4,805 | university_basketball | spider:train_spider.json:1014 | What are the different affiliations, and how many schools with each have an enrollment size of above 20000? | SELECT count(*) , affiliation FROM university WHERE enrollment > 20000 GROUP BY affiliation | [
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4,806 | driving_school | spider:train_spider.json:6708 | How many lesson does customer with first name Ray took? | SELECT count(*) FROM Lessons AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id WHERE T2.first_name = "Ray" | [
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4,807 | wrestler | spider:train_spider.json:1880 | What is the number of distinct teams that suffer elimination? | SELECT COUNT (DISTINCT team) FROM elimination | [
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4,809 | college_3 | spider:train_spider.json:4666 | What are the last names of female students, ordered by age descending? | SELECT LName FROM STUDENT WHERE Sex = "F" ORDER BY Age DESC | [
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4,810 | retails | bird:train.json:6708 | How many customers are in the automobile market segment? | SELECT COUNT(c_custkey) FROM customer WHERE c_mktsegment = 'AUTOMOBILE' | [
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4,811 | synthea | bird:train.json:1414 | Among the patients that died, what is the condition of the oldest patient? | SELECT T1.DESCRIPTION FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.deathdate IS NOT NULL ORDER BY strftime('%Y', T2.deathdate) - strftime('%Y', T2.birthdate) DESC LIMIT 1 | [
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4,812 | college_1 | spider:train_spider.json:3265 | What is the first, last name, gpa of the youngest one among students whose GPA is above 3? | SELECT stu_fname , stu_lname , stu_gpa FROM student WHERE stu_gpa > 3 ORDER BY stu_dob DESC LIMIT 1 | [
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4,813 | car_racing | bird:test.json:1620 | Find all the countries where some drivers have points above 150. | SELECT T1.Country FROM country AS T1 JOIN driver AS T2 ON T1.Country_ID = T2.Country WHERE T2.Points > 150 | [
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4,814 | food_inspection_2 | bird:train.json:6157 | What is the average number of inspections done by the top 5 employees with the highest salary? List the names of the said employees. | SELECT CAST(COUNT(DISTINCT T2.inspection_id) AS REAL) / 5, T1.first_name, T1.last_name FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T1.title = 'Sanitarian' ORDER BY T1.salary DESC LIMIT 5 | [
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4,815 | shakespeare | bird:train.json:3033 | What are the character names for a senator of Venice? | SELECT CharName FROM characters WHERE Description = 'a senator of Venice' | [
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4,816 | body_builder | spider:train_spider.json:1161 | What is the average total score of body builders with height bigger than 200? | SELECT avg(T1.Total) FROM body_builder AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID WHERE T2.Height > 200 | [
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4,817 | authors | bird:train.json:3628 | At which conference was the paper "Skew-Circulant Preconditioners for Systems of LMF-Based ODE Codes" presented? | SELECT T2.FullName FROM Paper AS T1 INNER JOIN Conference AS T2 ON T1.ConferenceId = T2.Id WHERE T1.Title = 'Skew-Circulant Preconditioners for Systems of LMF-Based ODE Codes' | [
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4,818 | wrestler | spider:train_spider.json:1852 | What are the names and location of the wrestlers? | SELECT Name , LOCATION FROM wrestler | [
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4,819 | cre_Doc_Control_Systems | spider:train_spider.json:2106 | How many employees do we have? | SELECT count(*) FROM Employees; | [
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4,820 | menu | bird:train.json:5556 | Among the menus that include baked apples with cream, who is the sponsor of the menu with the highest price? | SELECT T4.sponsor FROM MenuPage AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.menu_page_id INNER JOIN Dish AS T3 ON T2.dish_id = T3.id INNER JOIN Menu AS T4 ON T4.id = T1.menu_id WHERE T3.name = 'Baked apples with cream' AND T3.id = 107 ORDER BY T2.price DESC LIMIT 1 | [
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4,821 | law_episode | bird:train.json:1348 | Who played the role of a teleplay in the episode that won "Best Television Episode"? | SELECT T2.name FROM Award AS T1 INNER JOIN Person AS T2 ON T1.person_id = T2.person_id WHERE T1.result = 'Winner' AND T1.award = 'Best Television Episode' | [
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4,822 | mondial_geo | bird:train.json:8495 | When did the country whose capital is Nouakchott attained it's independence? | SELECT T2.Independence FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country WHERE T1.Capital = 'Nouakchott' | [
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4,823 | works_cycles | bird:train.json:7063 | What is the job position of the oldest employee? | SELECT T2.PersonType FROM Employee AS T1 INNER JOIN Person AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID ORDER BY T1.BirthDate ASC LIMIT 1 | [
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4,824 | customers_and_orders | bird:test.json:286 | What are the ids and product types for all products, sorted alphabetically by product name? | SELECT product_id , product_type_code FROM Products ORDER BY product_name | [
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4,825 | airline | bird:train.json:5896 | Give the actual elapsed time of the flights with air carrier named Semo Aviation Inc.: SEM. | SELECT T2.ACTUAL_ELAPSED_TIME FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Semo Aviation Inc.: SEM' | [
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4,826 | software_company | bird:train.json:8562 | In geographic identifier from 10 to 30, how many of them has an income below 2000? | SELECT COUNT(GEOID) FROM Demog WHERE INCOME_K < 2000 AND GEOID >= 10 AND GEOID <= 30 | [
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"token_idxs": [
4
]
},
{
"entity_id": 5,
... | [
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"O",
"O",
"O",
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"O",
"B-VALUE",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"O"
] |
4,827 | car_retails | bird:train.json:1618 | For the productline where the product No.S18_2949 was produced, what's the text description for that product line? | SELECT t1.textDescription FROM productlines AS t1 INNER JOIN products AS t2 ON t1.productLine = t2.productLine WHERE t2.productCode = 'S18_2949' | [
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] | [
{
"id": 0,
"type": "column",
"value": "textdescription"
},
{
"id": 1,
"type": "table",
"value": "productlines"
},
{
"id": 3,
"type": "column",
"value": "productcode"
},
{
"id": 5,
"type": "column",
"value": "productline"
},
{
"id": 2,
"type": "... | [
{
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"O",
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] |
4,828 | mondial_geo | bird:train.json:8471 | State the area and population of the country where Asia Pacific Economic Cooperation headquarter is located. | SELECT T2.Name, T2.Population FROM organization AS T1 INNER JOIN country AS T2 ON T1.Country = T2.Code WHERE T1.Name = 'Asia Pacific Economic Cooperation' | [
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] | [
{
"id": 4,
"type": "value",
"value": "Asia Pacific Economic Cooperation"
},
{
"id": 2,
"type": "table",
"value": "organization"
},
{
"id": 1,
"type": "column",
"value": "population"
},
{
"id": 3,
"type": "table",
"value": "country"
},
{
"id": 5,
... | [
{
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... | [
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"B-TABLE",
"O",
"O",
"O",
"O"
] |
4,829 | works_cycles | bird:train.json:7045 | How many accounts have an address that is too long? | SELECT COUNT(*) FROM Address WHERE AddressLine2 <> '' | [
"How",
"many",
"accounts",
"have",
"an",
"address",
"that",
"is",
"too",
"long",
"?"
] | [
{
"id": 1,
"type": "column",
"value": "addressline2"
},
{
"id": 0,
"type": "table",
"value": "address"
}
] | [
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
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},
{
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"token_idxs": []
},
{
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"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": []
},
{
... | [
"O",
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"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"O"
] |
4,830 | professional_basketball | bird:train.json:2924 | How many first round draft player in 1996 NBA draft became an All-Star? | SELECT COUNT(T2.playerID) FROM draft AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T1.draftYear = 1996 AND T1.draftRound = 1 | [
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"-",
"Star",
"?"
] | [
{
"id": 1,
"type": "table",
"value": "player_allstar"
},
{
"id": 5,
"type": "column",
"value": "draftround"
},
{
"id": 3,
"type": "column",
"value": "draftyear"
},
{
"id": 2,
"type": "column",
"value": "playerid"
},
{
"id": 0,
"type": "table",
... | [
{
"entity_id": 0,
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},
{
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13,
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]
},
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5
]
},
{
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},
{
"entity_id": 4,
"token_... | [
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"O",
"B-VALUE",
"O",
"B-TABLE",
"O",
"B-TABLE",
"I-TABLE",
"I-TABLE",
"I-TABLE",
"O"
] |
4,831 | donor | bird:train.json:3206 | Which item provided to a project whose main subject area is Literacy & Language has the highest unit price? | SELECT T1.item_name FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid WHERE T2.primary_focus_area = 'Literacy & Language' ORDER BY T1.item_unit_price DESC LIMIT 1 | [
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"has",
"the",
"highest",
"unit",
"price",
"?"
] | [
{
"id": 4,
"type": "value",
"value": "Literacy & Language"
},
{
"id": 3,
"type": "column",
"value": "primary_focus_area"
},
{
"id": 5,
"type": "column",
"value": "item_unit_price"
},
{
"id": 0,
"type": "column",
"value": "item_name"
},
{
"id": 1,
... | [
{
"entity_id": 0,
"token_idxs": [
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]
},
{
"entity_id": 1,
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},
{
"entity_id": 2,
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]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
11,
12,
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]
},
{
... | [
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"B-VALUE",
"I-VALUE",
"I-VALUE",
"O",
"O",
"O",
"B-COLUMN",
"I-COLUMN",
"O"
] |
4,832 | activity_1 | spider:train_spider.json:6763 | Show ids for the faculty members who don't advise any student. | SELECT FacID FROM Faculty EXCEPT SELECT advisor FROM Student | [
"Show",
"ids",
"for",
"the",
"faculty",
"members",
"who",
"do",
"n't",
"advise",
"any",
"student",
"."
] | [
{
"id": 0,
"type": "table",
"value": "faculty"
},
{
"id": 1,
"type": "table",
"value": "student"
},
{
"id": 3,
"type": "column",
"value": "advisor"
},
{
"id": 2,
"type": "column",
"value": "facid"
}
] | [
{
"entity_id": 0,
"token_idxs": [
4
]
},
{
"entity_id": 1,
"token_idxs": [
11
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
9
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
... | [
"O",
"O",
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O"
] |
4,833 | simpson_episodes | bird:train.json:4274 | Please list the three episodes with the highest number of votes for the worst star rating. | SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = ( SELECT MIN(stars) FROM Vote ) ORDER BY T2.votes DESC LIMIT 3; | [
"Please",
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"three",
"episodes",
"with",
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"votes",
"for",
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"worst",
"star",
"rating",
"."
] | [
{
"id": 5,
"type": "column",
"value": "episode_id"
},
{
"id": 1,
"type": "table",
"value": "episode"
},
{
"id": 0,
"type": "column",
"value": "title"
},
{
"id": 3,
"type": "column",
"value": "stars"
},
{
"id": 4,
"type": "column",
"value": ... | [
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
4
]
},
{
"entity_id": 2,
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10
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},
{
"entity_id": 3,
"token_idxs": [
14
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
... | [
"O",
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"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O"
] |
4,834 | real_estate_rentals | bird:test.json:1402 | How is the feature rooftop described? | SELECT feature_description FROM Features WHERE feature_name = 'rooftop'; | [
"How",
"is",
"the",
"feature",
"rooftop",
"described",
"?"
] | [
{
"id": 1,
"type": "column",
"value": "feature_description"
},
{
"id": 2,
"type": "column",
"value": "feature_name"
},
{
"id": 0,
"type": "table",
"value": "features"
},
{
"id": 3,
"type": "value",
"value": "rooftop"
}
] | [
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
4
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": ... | [
"O",
"O",
"O",
"B-TABLE",
"B-VALUE",
"O",
"O"
] |
4,835 | movie_1 | spider:train_spider.json:2487 | For all directors who have directed more than one movie, what movies have they directed and what are their names? | SELECT T1.title , T1.director FROM Movie AS T1 JOIN Movie AS T2 ON T1.director = T2.director WHERE T1.title != T2.title ORDER BY T1.director , T1.title | [
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",",
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"directed",
"and",
"what",
"are",
"their",
"names",
"?"
] | [
{
"id": 1,
"type": "column",
"value": "director"
},
{
"id": 0,
"type": "column",
"value": "title"
},
{
"id": 2,
"type": "table",
"value": "movie"
}
] | [
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
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2
]
},
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9
]
},
{
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"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": ... | [
"O",
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"O",
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O"
] |
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