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11,662 | college_2 | spider:train_spider.json:1430 | Find the name of the instructors who taught C Programming course before. | SELECT T1.name FROM instructor AS T1 JOIN teaches AS T2 ON T1.id = T2.id JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T3.title = 'C Programming' | [
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11,663 | small_bank_1 | spider:train_spider.json:1785 | Find the number of accounts with a savings balance that is higher than the average savings balance. | SELECT count(*) FROM savings WHERE balance > (SELECT avg(balance) FROM savings) | [
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11,664 | talkingdata | bird:train.json:1186 | How many labels belong to the game-card category? | SELECT COUNT(label_id) FROM label_categories WHERE category = 'game-card' | [
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11,665 | retail_complains | bird:train.json:270 | For all the complaint callers on 2017/3/27, what percentage of the clients are females? | SELECT CAST(SUM(CASE WHEN T1.sex = 'Female' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.sex) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2017-03-27' | [
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11,666 | document_management | spider:train_spider.json:4510 | Return the structure description of the document that has been accessed the fewest number of times. | SELECT t2.document_structure_description FROM documents AS t1 JOIN document_structures AS t2 ON t1.document_structure_code = t2.document_structure_code GROUP BY t1.document_structure_code ORDER BY count(*) DESC LIMIT 1 | [
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11,667 | thrombosis_prediction | bird:dev.json:1275 | Among the patients who has a normal level of anti-centromere and a normal level of anti-SSB, how many of them are male? | SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.CENTROMEA IN ('negative', '0') AND T2.SSB IN ('negative', '0') AND T1.SEX = 'M' | [
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11,668 | video_games | bird:train.json:3354 | What are the names of the games that were published by 505 Games? | SELECT T3.game_name FROM publisher AS T1 INNER JOIN game_publisher AS T2 ON T1.id = T2.publisher_id INNER JOIN game AS T3 ON T2.game_id = T3.id WHERE T1.publisher_name = '505 Games' | [
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11,669 | superhero | bird:dev.json:741 | What is the name of the superhero that has the most powers? | SELECT T1.superhero_name FROM superhero AS T1 INNER JOIN hero_power AS T2 ON T1.id = T2.hero_id GROUP BY T1.superhero_name ORDER BY COUNT(T2.hero_id) DESC LIMIT 1 | [
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11,670 | beer_factory | bird:train.json:5314 | What star rating is the most common for beers containing corn syrup? | SELECT T2.StarRating FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T1.CornSyrup = 'TRUE' GROUP BY T2.StarRating ORDER BY COUNT(T2.StarRating) DESC LIMIT 1 | [
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11,671 | movie_3 | bird:train.json:9220 | Describe the full names and cities of the customers who rented "DREAM PICKUP". | SELECT T4.first_name, T4.last_name, T6.city FROM film AS T1 INNER JOIN inventory AS T2 ON T1.film_id = T2.film_id INNER JOIN rental AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN customer AS T4 ON T3.customer_id = T4.customer_id INNER JOIN address AS T5 ON T4.address_id = T5.address_id INNER JOIN city AS T6 ON T... | [
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11,672 | simpson_episodes | bird:train.json:4247 | Which episode of The simpson 20s: Season 20 has received the most nominations? Indicate the title. | SELECT T2.title FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id GROUP BY T1.episode_id ORDER BY COUNT(*) DESC LIMIT 1; | [
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11,673 | warehouse_1 | bird:test.json:1713 | Find the location of the warehouses which have contents Rocks but not Scissors. | SELECT T2.location FROM boxes AS T1 JOIN warehouses AS T2 ON T1.warehouse = T2.code WHERE T1.contents = 'Rocks' EXCEPT SELECT T2.location FROM boxes AS T1 JOIN warehouses AS T2 ON T1.warehouse = T2.code WHERE T1.contents = 'Scissors' | [
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11,674 | entertainment_awards | spider:train_spider.json:4608 | Show distinct types of artworks that are nominated in festivals in 2007. | SELECT DISTINCT T2.Type FROM nomination AS T1 JOIN artwork AS T2 ON T1.Artwork_ID = T2.Artwork_ID JOIN festival_detail AS T3 ON T1.Festival_ID = T3.Festival_ID WHERE T3.Year = 2007 | [
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11,675 | product_catalog | spider:train_spider.json:311 | Which catalog publisher has published the most catalogs? | SELECT catalog_publisher FROM catalogs GROUP BY catalog_publisher ORDER BY count(*) DESC LIMIT 1 | [
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11,676 | movie_3 | bird:train.json:9107 | Which film has a higher replacement cost, ACE GOLDFINGER or ACADEMY DINOSAUR? | SELECT title FROM film WHERE title IN ('ACE GOLDFINGER', 'ACADEMY DINOSAUR') ORDER BY replacement_cost DESC LIMIT 1 | [
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11,677 | california_schools | bird:dev.json:69 | Please provide the National Center for Educational Statistics school district identification number for all schools with a School Ownership Code that are part of the State Special Schools. | SELECT NCESDist FROM schools WHERE SOC = 31 | [
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11,678 | talkingdata | bird:train.json:1096 | What is the brand of the device used by the youngest female user? | SELECT phone_brand FROM phone_brand_device_model2 WHERE device_id IN ( SELECT * FROM ( SELECT device_id FROM gender_age WHERE gender = 'F' ORDER BY age LIMIT 1 ) AS T ) | [
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11,679 | twitter_1 | spider:train_spider.json:279 | Find the number of tweets in record. | SELECT count(*) FROM tweets | [
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11,681 | retail_world | bird:train.json:6653 | How many customers are located in London? | SELECT COUNT(CustomerID) FROM Customers WHERE City = 'London' | [
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11,682 | bike_1 | spider:train_spider.json:197 | Find the id for the trips that lasted at least as long as the average duration of trips in zip code 94103. | SELECT id FROM trip WHERE duration >= (SELECT avg(duration) FROM trip WHERE zip_code = 94103) | [
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11,683 | law_episode | bird:train.json:1273 | Who is the script supervisor of the series in episode tt0629204? | SELECT T2.name FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T1.episode_id = 'tt0629204' AND T1.role = 'script supervisor' | [
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11,684 | language_corpus | bird:train.json:5698 | What is the title of the Catalan language Wikipedia page that has the highest number of different words? | SELECT title FROM pages WHERE words = ( SELECT MAX(words) FROM pages ) | [
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11,685 | cre_Doc_Tracking_DB | spider:train_spider.json:4175 | When was the document named "Marry CV" stored? Give me the date. | SELECT date_stored FROM All_documents WHERE Document_name = "Marry CV" | [
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11,686 | store_product | spider:train_spider.json:4912 | Find the total population of the top 3 districts with the largest area. | SELECT sum(city_population) FROM district ORDER BY city_area DESC LIMIT 3 | [
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11,687 | chicago_crime | bird:train.json:8728 | What are the communities that are grouped together on the central side? | SELECT community_area_name FROM Community_Area WHERE side = 'Central' | [
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11,688 | farm | spider:train_spider.json:26 | What are the maximum and minimum number of cows across all farms. | SELECT max(Cows) , min(Cows) FROM farm | [
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11,689 | retails | bird:train.json:6797 | Calculate the average profit of prom brushed steel products. | SELECT SUM(T2.l_extendedprice * (1 - T2.l_discount) - T1.ps_supplycost * T2.l_quantity) / COUNT(T1.ps_partkey) FROM partsupp AS T1 INNER JOIN lineitem AS T2 ON T1.ps_suppkey = T2.l_suppkey INNER JOIN part AS T3 ON T1.ps_partkey = T3.p_partkey WHERE T3.p_type = 'PROMO BRUSHED STEEL' | [
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11,691 | retail_world | bird:train.json:6615 | Name the suppliers that supply products under the category 'cheeses.' | SELECT DISTINCT T1.CompanyName FROM Suppliers AS T1 INNER JOIN Products AS T2 ON T1.SupplierID = T2.SupplierID INNER JOIN Categories AS T3 ON T2.CategoryID = T3.CategoryID WHERE T3.Description = 'Cheeses' | [
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11,692 | video_games | bird:train.json:3358 | Give the game publisher ID of records with platform ID 15. | SELECT T.game_publisher_id FROM game_platform AS T WHERE T.platform_id = 15 | [
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11,693 | hockey | bird:train.json:7755 | Which team got the most bench minor penalties in 2006? | SELECT name FROM Teams WHERE year = 2006 GROUP BY tmID, name ORDER BY CAST(SUM(BenchMinor) AS REAL) / 2 DESC LIMIT 1 | [
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11,694 | book_publishing_company | bird:train.json:183 | In which year has the most hired employees? | SELECT STRFTIME('%Y', hire_date) FROM employee GROUP BY STRFTIME('%Y', hire_date) ORDER BY COUNT(emp_id) DESC LIMIT 1 | [
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11,695 | flight_company | spider:train_spider.json:6366 | How many flights have a velocity larger than 200? | SELECT count(*) FROM flight WHERE velocity > 200 | [
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11,696 | epinions_1 | spider:train_spider.json:1692 | How many users are there? | SELECT count(*) FROM useracct | [
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"?"
] | [
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"id": 0,
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11,697 | warehouse_1 | bird:test.json:1754 | How many different types of contents are stored in each warehouse? | SELECT count(DISTINCT CONTENTS) , warehouse FROM boxes GROUP BY warehouse | [
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"id": 1,
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{
"id": 0,
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11,698 | movie_3 | bird:train.json:9114 | Please list the titles of the top 3 films with the highest replacement cost. | SELECT title FROM film WHERE replacement_cost = ( SELECT MAX(replacement_cost) FROM film ) LIMIT 3 | [
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{
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{
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11,699 | game_1 | spider:train_spider.json:6029 | Show total hours per week and number of games played for student David Shieber. | SELECT sum(hoursperweek) , sum(gamesplayed) FROM Sportsinfo AS T1 JOIN Student AS T2 ON T1.StuID = T2.StuID WHERE T2.Fname = "David" AND T2.Lname = "Shieber" | [
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"id": 2,
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},
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"type": "column",
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{
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"type": "table",
"value": "sportsinfo"
},
{
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"type": "table",
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] |
11,700 | public_review_platform | bird:train.json:4005 | What time does the business with ID no.12 open on Monday? | SELECT T1.opening_time FROM Business_Hours AS T1 INNER JOIN Days AS T2 ON T1.day_id = T2.day_id WHERE T1.business_id = 12 AND T2.day_of_week = 'Monday' | [
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{
"id": 0,
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"type": "column",
"value": "business_id"
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{
"id": 6,
"type": "column",
"value": "day_of_week"
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11,701 | club_1 | spider:train_spider.json:4273 | What are the first name and last name of each male member in club "Hopkins Student Enterprises"? | SELECT t3.fname , t3.lname 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 = "Hopkins Student Enterprises" AND t3.sex = "M" | [
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{
"id": 4,
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{
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"type": "column",
"value": "clubname"
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{
"id": 2,
"type": "table",
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"id": 10,
"t... | [
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11,702 | retail_world | bird:train.json:6513 | How many employees report to Andrew Fuller? | SELECT COUNT(EmployeeID) FROM Employees WHERE ReportsTo = ( SELECT EmployeeID FROM Employees WHERE LastName = 'Fuller' AND FirstName = 'Andrew' ) | [
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"many",
"employees",
"report",
"to",
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"?"
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"id": 2,
"type": "column",
"value": "employeeid"
},
{
"id": 0,
"type": "table",
"value": "employees"
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{
"id": 1,
"type": "column",
"value": "reportsto"
},
{
"id": 5,
"type": "column",
"value": "firstname"
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{
"id": 3,
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11,703 | student_loan | bird:train.json:4567 | How many months did a student in the Air Force miss school the most? | SELECT T1.month FROM longest_absense_from_school AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name ORDER BY T1.month DESC LIMIT 1 | [
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{
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"type": "table",
"value": "enlist"
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{
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"type": "column",
"value": "month"
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{
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] |
11,704 | entrepreneur | spider:train_spider.json:2293 | List the names of entrepreneurs and their companies in descending order of money requested? | SELECT T2.Name , T1.Company FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T1.Money_Requested | [
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] | [
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"id": 4,
"type": "column",
"value": "money_requested"
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{
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"type": "table",
"value": "entrepreneur"
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{
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"type": "column",
"value": "people_id"
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{
"id": 1,
"type": "column",
"value": "company"
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{
"id": 3,
"type": "table"... | [
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11,705 | retail_world | bird:train.json:6603 | Please indicate total order quantity of product Geitost and calculate the percentage of such product among all the order quantity. | SELECT SUM(IF(T1.ProductName = 'Geitost', 1, 0)) AS sum , CAST(SUM(IF(T1.ProductName = 'Geitost', 1, 0)) AS REAL) / COUNT(T1.ProductID) FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID | [
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{
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{
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"value": "productid"
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"value": "products"
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11,706 | thrombosis_prediction | bird:dev.json:1258 | How many patients with a normal Rhuematoid Factor has a positive measure of degree of coagulation? | SELECT COUNT(DISTINCT T1.ID) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID INNER JOIN Examination AS T3 ON T3.ID = T2.ID WHERE (T2.RA = '-' OR T2.RA = '+-') AND T3.KCT = '+' | [
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{
"id": 4,
"type": "column",
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11,707 | student_club | bird:dev.json:1420 | State the name of major that Vice President has joined. | SELECT T1.major_name FROM major AS T1 INNER JOIN member AS T2 ON T1.major_id = T2.link_to_major WHERE T2.position = 'Vice President' | [
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"id": 4,
"type": "value",
"value": "Vice President"
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"type": "column",
"value": "link_to_major"
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{
"id": 0,
"type": "column",
"value": "major_name"
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{
"id": 3,
"type": "column",
"value": "position"
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{
"id": 5,
"type": "colu... | [
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11,708 | government_shift | bird:test.json:394 | Which services have been rated as "unsatisfied" in customers and services details? Give me the service_details. | SELECT DISTINCT t1.service_details FROM services AS t1 JOIN customers_and_services AS t2 ON t1.service_id = t2.service_id WHERE t2.customers_and_services_details = "Unsatisfied" | [
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{
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11,709 | art_1 | bird:test.json:1268 | Find the titles of paintings and sculpture works made by the artist whose id is 222? | SELECT T2.title FROM artists AS T1 JOIN paintings AS T2 ON T1.artistID = T2.painterID WHERE T1.artistID = 222 UNION SELECT T4.title FROM artists AS T3 JOIN sculptures AS T4 ON T3.artistID = T4.sculptorID WHERE T3.artistID = 222 | [
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"value": "paintings"
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{
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11,710 | soccer_2016 | bird:train.json:1961 | Which country is the youngest player from? | SELECT T1.Country_Name FROM Country AS T1 INNER JOIN Player AS T2 ON T1.Country_Id = T2.Country_Name ORDER BY T2.DOB DESC LIMIT 1 | [
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11,711 | olympics | bird:train.json:4992 | What are the names of the cities where Carl Lewis Borack competed? | SELECT T4.city_name FROM person AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.person_id INNER JOIN games_city AS T3 ON T2.games_id = T3.games_id INNER JOIN city AS T4 ON T3.city_id = T4.id WHERE T1.full_name = 'Carl Lewis Borack' | [
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11,712 | legislator | bird:train.json:4891 | Please list the username of the current official Facebook presence of all the current legislators that are famous or impact. | SELECT T2.facebook FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.wikipedia_id IS NOT NULL GROUP BY T2.facebook | [
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11,713 | sports_competition | spider:train_spider.json:3368 | What is the most common competition type? | SELECT Competition_type FROM competition GROUP BY Competition_type ORDER BY COUNT(*) DESC LIMIT 1 | [
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11,714 | loan_1 | spider:train_spider.json:3045 | What are the names of customers with credit score less than the average credit score across customers? | SELECT cust_name FROM customer WHERE credit_score < (SELECT avg(credit_score) FROM customer) | [
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11,715 | university | bird:train.json:8039 | What is the name of the ranking system for Teaching criteria? | SELECT T1.system_name FROM ranking_system AS T1 INNER JOIN ranking_criteria AS T2 ON T1.id = T2.ranking_system_id WHERE T2.criteria_name = 'Teaching' | [
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11,716 | airline | bird:train.json:5869 | Which airport did Republic Airline fly the most from? | SELECT T2.DEST FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T1.Description = 'Republic Airline: YX' GROUP BY T2.DEST ORDER BY COUNT(T2.DEST) DESC LIMIT 1 | [
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11,717 | financial | bird:dev.json:142 | Which accounts placed orders for household payment in Pisek? | SELECT DISTINCT T2.account_id FROM trans AS T1 INNER JOIN account AS T2 ON T1.account_id = T2.account_id INNER JOIN district AS T3 ON T2.district_id = T3.district_id WHERE T1.k_symbol = 'SIPO' AND T3.A2 = 'Pisek' | [
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11,718 | music_1 | spider:train_spider.json:3625 | Find the names of the artists who have produced English songs but have never received rating higher than 8. | SELECT DISTINCT artist_name FROM song WHERE languages = "english" EXCEPT SELECT DISTINCT artist_name FROM song WHERE rating > 8 | [
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11,719 | beer_factory | bird:train.json:5305 | In the reviews of September 2014. Which brand of beers obtained the highest star ratings? | SELECT DISTINCT T1.BrandName FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T2.StarRating = 5 AND T2.ReviewDate BETWEEN '2014-09-01' AND '2014-09-30' | [
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11,720 | food_inspection_2 | bird:train.json:6226 | What is the total number of establishments with the highest risk level? | SELECT COUNT(license_no) FROM establishment WHERE risk_level = 3 | [
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11,721 | wine_1 | spider:train_spider.json:6530 | Return the prices of wines produced before 2010. | SELECT Price FROM WINE WHERE YEAR < 2010 | [
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11,722 | debit_card_specializing | bird:dev.json:1511 | For the customers who paid in the euro, what is their average total price of the transactions? | SELECT AVG(T1.Price) FROM transactions_1k AS T1 INNER JOIN gasstations AS T2 ON T1.GasStationID = T2.GasStationID INNER JOIN customers AS T3 ON T1.CustomerID = T3.CustomerID WHERE T3.Currency = 'EUR' | [
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11,723 | game_1 | spider:train_spider.json:6012 | How many students play each sport? | SELECT sportname , count(*) FROM Sportsinfo GROUP BY sportname | [
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11,724 | law_episode | bird:train.json:1251 | What is the title of the episode that got the most 10-star votes? | SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T2.stars = 10 ORDER BY T2.votes DESC LIMIT 1 | [
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11,725 | donor | bird:train.json:3176 | When was the project with the highest quantity went live on the site? Indicate the grade level for which the project materials are intended. | SELECT T2.date_posted, T2.grade_level FROM resources AS T1 INNER JOIN projects AS T2 ON T1.projectid = T2.projectid ORDER BY T1.item_quantity DESC LIMIT 1 | [
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11,726 | entrepreneur | spider:train_spider.json:2302 | Which company was started by the entrepreneur with the greatest height? | SELECT T1.Company FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Height DESC LIMIT 1 | [
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11,727 | video_games | bird:train.json:3359 | List down the record ID of records released between 2000 to 2003. | SELECT T.id FROM game_platform AS T WHERE T.release_year BETWEEN 2000 AND 2003 | [
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11,728 | customer_complaints | spider:train_spider.json:5782 | Find the email and phone number of the customers who have never filed a complaint before. | SELECT email_address , phone_number FROM customers WHERE customer_id NOT IN (SELECT customer_id FROM complaints) | [
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11,729 | music_4 | spider:train_spider.json:6185 | Please show the categories of the music festivals with count more than 1. | SELECT Category FROM music_festival GROUP BY Category HAVING COUNT(*) > 1 | [
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11,730 | inn_1 | spider:train_spider.json:2618 | Find the number of rooms with king bed for each decor type. | SELECT decor , count(*) FROM Rooms WHERE bedType = "King" GROUP BY decor; | [
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11,732 | sing_contest | bird:test.json:746 | What are the id, language and original artist of the songs whose name is not 'Love'? | SELECT id , LANGUAGE , original_artist FROM songs WHERE name != 'Love' | [
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11,733 | college_3 | spider:train_spider.json:4696 | What are the full names of students minoring in department 140? | SELECT T2.Fname , T2.Lname FROM MINOR_IN AS T1 JOIN STUDENT AS T2 ON T1.StuID = T2.StuID WHERE T1.DNO = 140 | [
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11,735 | allergy_1 | spider:train_spider.json:519 | Find the last name and age of the student who has allergy to both milk and cat. | SELECT lname , age FROM Student WHERE StuID IN (SELECT StuID FROM Has_allergy WHERE Allergy = "Milk" INTERSECT SELECT StuID FROM Has_allergy WHERE Allergy = "Cat") | [
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11,736 | music_4 | spider:train_spider.json:6202 | Return the issue dates of volumes by artists who are at most 23 years old? | SELECT Issue_Date FROM artist AS T1 JOIN volume AS T2 ON T1.Artist_ID = T2.Artist_ID WHERE T1.age <= 23 | [
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11,737 | works_cycles | bird:train.json:7411 | Please list the e-mail addresses of all the employees who wish to receive e-mail promotions from Adventureworks and selected partners. | SELECT T2.EmailAddress FROM Person AS T1 INNER JOIN EmailAddress AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.EmailPromotion = 2 | [
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11,738 | image_and_language | bird:train.json:7538 | How many object elements can be detected on image no. 31? | SELECT COUNT(OBJ_CLASS_ID) FROM IMG_OBJ WHERE IMG_ID = 31 | [
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11,739 | customers_and_invoices | spider:train_spider.json:1618 | How many order items correspond to each order id? | SELECT order_id , count(*) FROM Order_items GROUP BY order_id | [
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11,740 | conference | bird:test.json:1062 | How many conferences occur every year? | SELECT YEAR , count(*) FROM conference GROUP BY YEAR | [
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11,741 | wine_1 | spider:train_spider.json:6580 | Which wineries produce at least four wines? | SELECT Winery FROM WINE GROUP BY Winery HAVING count(*) >= 4 | [
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11,742 | apartment_rentals | spider:train_spider.json:1263 | Which apartment type code is the most common among apartments with more than one bathroom? | SELECT apt_type_code FROM Apartments WHERE bathroom_count > 1 GROUP BY apt_type_code ORDER BY count(*) DESC LIMIT 1 | [
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11,743 | talkingdata | bird:train.json:1051 | What is the most common device model among female users between the ages 27 to 28? | SELECT T2.device_model FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'F27-28' AND T1.gender = 'F' ORDER BY T2.device_id DESC LIMIT 1 | [
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11,744 | soccer_1 | spider:train_spider.json:1299 | List the names of all players who have a crossing score higher than 90 and prefer their right foot. | SELECT DISTINCT T1.player_name FROM Player AS T1 JOIN Player_Attributes AS T2 ON T1.player_api_id = T2.player_api_id WHERE T2.crossing > 90 AND T2.preferred_foot = "right" | [
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11,745 | music_1 | spider:train_spider.json:3557 | What is the country of origin of the artist who is female and produced a song in Bangla? | SELECT T1.country FROM artist AS T1 JOIN song AS T2 ON T1.artist_name = T2.artist_name WHERE T1.gender = "Female" AND T2.languages = "bangla" | [
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11,746 | allergy_1 | spider:train_spider.json:448 | What are all the different food allergies? | SELECT DISTINCT allergy FROM Allergy_type WHERE allergytype = "food" | [
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11,747 | movie_3 | bird:train.json:9221 | Calculate how many percent of customers were located in India. | SELECT CAST(SUM(IIF(T1.country = 'India', 1, 0)) AS REAL) * 100 / COUNT(T4.customer_id) FROM country AS T1 INNER JOIN city AS T2 ON T1.country_id = T2.country_id INNER JOIN address AS T3 ON T2.city_id = T3.city_id INNER JOIN customer AS T4 ON T3.address_id = T4.address_id | [
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11,748 | mondial_geo | bird:train.json:8464 | Name the first organisation established in the Paris city. State its abbreviation, full name and date of establishment. | SELECT Abbreviation, Name, Established FROM organization WHERE City = 'Paris' ORDER BY Established ASC LIMIT 1 | [
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11,749 | superhero | bird:dev.json:806 | Provide the eye colour of the superhero who has Karen Beecher-Duncan as their full name. | SELECT T2.colour FROM superhero AS T1 INNER JOIN colour AS T2 ON T1.eye_colour_id = T2.id WHERE T1.full_name = 'Karen Beecher-Duncan' | [
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11,750 | legislator | bird:train.json:4763 | What is the current official Youtube username of Chris Van Hollen? | SELECT T2.youtube FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.official_full_name = 'Chris Van Hollen' | [
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11,751 | bike_share_1 | bird:train.json:9062 | In which city's station is a bike borrowed on trip ID4069? | SELECT T2.city FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.id = 4069 | [
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11,752 | soccer_2016 | bird:train.json:1874 | How many percent of the toss-winners decided to bowl first on the pitch from 2010 to 2016? | SELECT CAST(SUM(CASE WHEN T2.Toss_Name = 'field' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.Toss_Id) FROM Match AS T1 INNER JOIN Toss_Decision AS T2 ON T2.Toss_Id = T1.Toss_Decide WHERE T1.Match_Date BETWEEN '2010-01-01' AND '2016-12-31' | [
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11,753 | shop_membership | spider:train_spider.json:5410 | Show minimum and maximum amount of memberships for all branches opened in 2011 or located at city London. | SELECT min(membership_amount) , max(membership_amount) FROM branch WHERE open_year = 2011 OR city = 'London' | [
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11,754 | movie_3 | bird:train.json:9278 | How many customers live in the city of Miyakonojo? | SELECT COUNT(T3.customer_id) FROM city AS T1 INNER JOIN address AS T2 ON T1.city_id = T2.city_id INNER JOIN customer AS T3 ON T2.address_id = T3.address_id WHERE T1.city = 'Miyakonojo' | [
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11,755 | toxicology | bird:dev.json:237 | Which molecule does the atom TR001_10 belong to? Please state whether this molecule is carcinogenic or not. | SELECT T2.molecule_id , IIF(T2.label = '+', 'YES', 'NO') AS flag_carcinogenic FROM atom AS T1 INNER JOIN molecule AS T2 ON T1.molecule_id = T2.molecule_id WHERE T1.atom_id = 'TR001_10' | [
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11,756 | works_cycles | bird:train.json:7282 | Which product gets the most reviews? | SELECT T2.Name FROM ProductReview AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID GROUP BY T1.ProductID ORDER BY COUNT(T1.ProductReviewID) DESC LIMIT 1 | [
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11,758 | bike_share_1 | bird:train.json:9008 | How many stations in San Francico can hold more than 20 bikes? | SELECT SUM(CASE WHEN city = 'San Francisco' AND dock_count > 20 THEN 1 ELSE 0 END) FROM station | [
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{
"id": 0,
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"value": "station"
},
{
"id": 3,
"type": "column",
"value": "city"
},
{
"id": 6,
"type": "value",
"val... | [
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11,759 | works_cycles | bird:train.json:6999 | What is the average standard cost of product number CA-1098? | SELECT AVG(T2.StandardCost) FROM Product AS T1 INNER JOIN ProductCostHistory AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ProductNumber = 'CA-1098' | [
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"value": "productnumber"
},
{
"id": 4,
"type": "column",
"value": "standardcost"
},
{
"id": 5,
"type": "column",
"value": "productid"
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{
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... | [
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11,760 | formula_1 | bird:dev.json:950 | Please list the constructor names with 0 points at race 291. | SELECT T2.name FROM constructorStandings AS T1 INNER JOIN constructors AS T2 on T1.constructorId = T2.constructorId WHERE T1.points = 0 AND T1.raceId = 291 | [
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"id": 1,
"type": "table",
"value": "constructorstandings"
},
{
"id": 3,
"type": "column",
"value": "constructorid"
},
{
"id": 2,
"type": "table",
"value": "constructors"
},
{
"id": 4,
"type": "column",
"value": "points"
},
{
"id": 6,
"type": ... | [
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11,761 | storm_record | spider:train_spider.json:2720 | Show storm name with at least two regions and 10 cities affected. | SELECT T1.name FROM storm AS T1 JOIN affected_region AS T2 ON T1.storm_id = T2.storm_id GROUP BY T1.storm_id HAVING count(*) >= 2 INTERSECT SELECT T1.name FROM storm AS T1 JOIN affected_region AS T2 ON T1.storm_id = T2.storm_id GROUP BY T1.storm_id HAVING sum(T2.number_city_affected) >= 10 | [
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"id": 6,
"type": "column",
"value": "number_city_affected"
},
{
"id": 3,
"type": "table",
"value": "affected_region"
},
{
"id": 0,
"type": "column",
"value": "storm_id"
},
{
"id": 2,
"type": "table",
"value": "storm"
},
{
"id": 1,
"type": "co... | [
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] |
11,763 | real_estate_rentals | bird:test.json:1431 | Return the zip codes for properties not belonging to users who own two or fewer properties. | SELECT T1.zip_postcode FROM Addresses AS T1 JOIN Properties AS T2 ON T1.address_id = T2.property_address_id WHERE T2.owner_user_id NOT IN ( SELECT owner_user_id FROM Properties GROUP BY owner_user_id HAVING count(*) <= 2 ); | [
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"id": 4,
"type": "column",
"value": "property_address_id"
},
{
"id": 5,
"type": "column",
"value": "owner_user_id"
},
{
"id": 0,
"type": "column",
"value": "zip_postcode"
},
{
"id": 2,
"type": "table",
"value": "properties"
},
{
"id": 3,
"typ... | [
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"O",
"O",
"O",
"B-TABLE",
"O"
] |
11,764 | california_schools | bird:dev.json:20 | How many schools in Amador which the Low Grade is 9 and the High Grade is 12? | SELECT COUNT(T1.`School Name`) FROM frpm AS T1 INNER JOIN schools AS T2 ON T1.CDSCode = T2.CDSCode WHERE T2.County = 'Amador' AND T1.`Low Grade` = 9 AND T1.`High Grade` = 12 | [
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] | [
{
"id": 2,
"type": "column",
"value": "School Name"
},
{
"id": 8,
"type": "column",
"value": "High Grade"
},
{
"id": 6,
"type": "column",
"value": "Low Grade"
},
{
"id": 1,
"type": "table",
"value": "schools"
},
{
"id": 3,
"type": "column",
... | [
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] |
11,765 | airline | bird:train.json:5831 | How many flights operated by American Airlines Inc. on 2018/8/1 were faster than scheduled? | SELECT SUM(CASE WHEN T2.ACTUAL_ELAPSED_TIME < CRS_ELAPSED_TIME THEN 1 ELSE 0 END) AS 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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] | [
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"id": 8,
"type": "value",
"value": "American Airlines Inc.: AA"
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"id": 3,
"type": "column",
"value": "op_carrier_airline_id"
},
{
"id": 12,
"type": "column",
"value": "actual_elapsed_time"
},
{
"id": 13,
"type": "column",
"value": "crs_elapsed_time"
... | [
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... | [
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] |
11,766 | online_exams | bird:test.json:196 | Give me an alphabetically ordered list of the distinct subject code for exams. | SELECT DISTINCT Subject_Code FROM Exams ORDER BY Subject_Code | [
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] | [
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"id": 1,
"type": "column",
"value": "subject_code"
},
{
"id": 0,
"type": "table",
"value": "exams"
}
] | [
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11,767 | swimming | spider:train_spider.json:5602 | How many events are there? | SELECT count(*) FROM event | [
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"events",
"are",
"there",
"?"
] | [
{
"id": 0,
"type": "table",
"value": "event"
}
] | [
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},
{
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},
{
... | [
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"O",
"O",
"O"
] |
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