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318 | student_loan | bird:train.json:4525 | List out the number of disabled students who enlisted in marines. | SELECT COUNT(T1.name) FROM disabled AS T1 INNER JOIN enlist AS T2 ON T1.name = T2.name WHERE T2.organ = 'marines' | [
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321 | law_episode | bird:train.json:1336 | List out director names that received an award along with the episode number. | SELECT T3.name, T1.episode_id FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T2.person_id = T3.person_id WHERE T2.role = 'director' AND T2.result = 'Winner' | [
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322 | movie_platform | bird:train.json:113 | Who is the director that made the most movies? Give the director's id. | SELECT director_id FROM movies GROUP BY director_id ORDER BY COUNT(movie_id) DESC LIMIT 1 | [
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323 | address | bird:train.json:5174 | Provide the zip codes and their affiliated organization for the postal point under Kingsport-Bristol, TN-VA. | SELECT T2.zip_code, T2.organization FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'Kingsport-Bristol, TN-VA' | [
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324 | retail_world | bird:train.json:6584 | Identify the total number of orders processed by Northwind employee named Andrew Fuller. What percent of those orders was shipped to Austria? | SELECT CAST(COUNT(CASE WHEN T2.ShipCountry = 'Austria' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.OrderID) FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID WHERE T1.FirstName = 'Andrew' AND T1.LastName = 'Fuller' | [
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325 | apartment_rentals | spider:train_spider.json:1200 | Show the short names of the buildings managed by "Emma". | SELECT building_short_name FROM Apartment_Buildings WHERE building_manager = "Emma" | [
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326 | tracking_grants_for_research | spider:train_spider.json:4342 | When do all the researcher role staff start to work, and when do they stop working? | SELECT date_from , date_to FROM Project_Staff WHERE role_code = 'researcher' | [
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327 | simpson_episodes | bird:train.json:4286 | Who is the oldest among all the casts and crews? | SELECT name FROM Person ORDER BY birthdate ASC LIMIT 1; | [
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328 | music_2 | spider:train_spider.json:5217 | What are all the instruments used by the musician with the last name "Heilo"? | SELECT instrument FROM instruments AS T1 JOIN Band AS T2 ON T1.bandmateid = T2.id WHERE T2.lastname = "Heilo" | [
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329 | entrepreneur | spider:train_spider.json:2279 | What is the name of the entrepreneur with the greatest weight? | SELECT T2.Name FROM entrepreneur AS T1 JOIN people AS T2 ON T1.People_ID = T2.People_ID ORDER BY T2.Weight DESC LIMIT 1 | [
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330 | movie_1 | spider:train_spider.json:2444 | What is the id of the reviewer whose name has substring “Mike”? | SELECT rID FROM Reviewer WHERE name LIKE "%Mike%" | [
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331 | cinema | spider:train_spider.json:1936 | What are all the locations with a cinema? | SELECT DISTINCT LOCATION FROM cinema | [
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332 | mondial_geo | bird:train.json:8361 | Which nation has the greatest infant mortality rate among those that attained independence in 1960? | SELECT T1.Country FROM politics AS T1 INNER JOIN population AS T2 ON T1.Country = T2.Country WHERE STRFTIME('%Y', T1.Independence) = '1960' ORDER BY T2.Infant_Mortality DESC LIMIT 1 | [
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333 | hospital_1 | spider:train_spider.json:3932 | Find the number of rooms located on each block floor. | SELECT count(*) , T1.blockfloor FROM BLOCK AS T1 JOIN room AS T2 ON T1.blockfloor = T2.blockfloor AND T1.blockcode = T2.blockcode GROUP BY T1.blockfloor | [
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334 | retail_complains | bird:train.json:380 | What is the average age of clients in South Atlantic? | SELECT AVG(T1.age) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'South Atlantic' | [
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335 | icfp_1 | spider:train_spider.json:2890 | Find the papers which have "Olin Shivers" as an author. | SELECT t3.title FROM authors AS t1 JOIN authorship AS t2 ON t1.authid = t2.authid JOIN papers AS t3 ON t2.paperid = t3.paperid WHERE t1.fname = "Olin" AND t1.lname = "Shivers" | [
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336 | customers_and_addresses | spider:train_spider.json:6097 | Which contact channel has been used by the customer with name "Tillman Ernser"? | SELECT DISTINCT channel_code FROM customers AS t1 JOIN customer_contact_channels AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name = "Tillman Ernser" | [
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337 | voter_2 | spider:train_spider.json:5504 | Report all majors that have less than 3 students. | SELECT Major FROM STUDENT GROUP BY Major HAVING COUNT(*) < 3 | [
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338 | activity_1 | spider:train_spider.json:6736 | How many faculty members does each building have? List the result with the name of the building. | SELECT building , count(*) FROM Faculty GROUP BY building | [
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339 | loan_1 | spider:train_spider.json:3047 | What is the name of the bank branch with the greatest number of customers? | SELECT bname FROM bank ORDER BY no_of_customers DESC LIMIT 1 | [
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340 | movie_platform | bird:train.json:135 | What is the percentage of users gave "5" to the movie "Go Go Tales"? | SELECT CAST(SUM(CASE WHEN T1.rating_score = 5 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.user_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'Go Go Tales' | [
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341 | movie_3 | bird:train.json:9153 | How many actors played a role in the 2006 film whose rental duration is 7 days, rental rate is 4.99 and is 98 minutes duration? | SELECT COUNT(T1.actor_id) FROM film_actor AS T1 INNER JOIN film AS T2 ON T1.film_id = T2.film_id WHERE T2.release_year = 2006 AND T2.rental_duration = 7 AND T2.rental_duration = 4.99 AND T2.length = 98 | [
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342 | bike_1 | spider:train_spider.json:119 | What is the id of the trip that has the shortest duration? | SELECT id FROM trip ORDER BY duration LIMIT 1 | [
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343 | college_1 | spider:train_spider.json:3293 | Find the first name of student who is taking classes from accounting and Computer Info. Systems departments | SELECT T1.stu_fname FROM student AS T1 JOIN enroll AS T2 ON T1.stu_num = T2.stu_num JOIN CLASS AS T3 ON T2.class_code = T3.class_code JOIN course AS T4 ON T3.crs_code = T4.crs_code JOIN department AS T5 ON T5.dept_code = T4.dept_code WHERE T5.dept_name = 'Accounting' INTERSECT SELECT T1.stu_fname FROM student AS T1 JOIN enroll AS T2 ON T1.stu_num = T2.stu_num JOIN CLASS AS T3 ON T2.class_code = T3.class_code JOIN course AS T4 ON T3.crs_code = T4.crs_code JOIN department AS T5 ON T5.dept_code = T4.dept_code WHERE T5.dept_name = 'Computer Info. Systems' | [
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345 | race_track | spider:train_spider.json:779 | Show the name of track and the number of races in each track. | SELECT T2.name , count(*) FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id | [
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346 | manufacturer | spider:train_spider.json:3392 | Find the component amounts and names of all furnitures that have more than 10 components. | SELECT Num_of_Component , name FROM furniture WHERE Num_of_Component > 10 | [
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347 | department_store | spider:train_spider.json:4716 | What is the address for the customer with id 10? | SELECT T1.address_details FROM addresses AS T1 JOIN customer_addresses AS T2 ON T1.address_id = T2.address_id WHERE T2.customer_id = 10 | [
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348 | retail_world | bird:train.json:6580 | How many suppliers does Northwind have in USA? | SELECT COUNT(SupplierID) FROM Suppliers WHERE Country = 'USA' | [
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349 | music_tracker | bird:train.json:2087 | From 1980 to 2000, which artist had the most disco releases? | SELECT T1.artist FROM torrents AS T1 INNER JOIN tags AS T2 ON T1.id = T2.id WHERE T1.groupYear BETWEEN 1980 AND 2000 AND T2.tag LIKE 'disco' GROUP BY T1.artist ORDER BY COUNT(T2.tag) DESC LIMIT 1 | [
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350 | card_games | bird:dev.json:496 | What is the number of cards are there in the set of "Rinascita di Alara"? | SELECT T1.baseSetSize FROM sets AS T1 INNER JOIN set_translations AS T2 ON T2.setCode = T1.code WHERE T2.translation = 'Rinascita di Alara' | [
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351 | works_cycles | bird:train.json:7472 | What proportion of work order is in Subassembly? | SELECT 100.0 * SUM(CASE WHEN T1.Name = 'Subassembly' THEN 1 ELSE 0 END) / COUNT(T2.WorkOrderID) FROM Location AS T1 INNER JOIN WorkOrderRouting AS T2 ON T1.LocationID = T2.LocationID | [
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352 | superhero | bird:dev.json:782 | List the heroes' names whose eyes and hair colours are both black. | SELECT T1.superhero_name FROM superhero AS T1 INNER JOIN colour AS T2 ON T1.eye_colour_id = T2.id AND T1.hair_colour_id = T2.id WHERE T2.colour = 'Black' | [
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353 | public_review_platform | bird:train.json:3997 | State the locations of all Pet Services business. | SELECT T1.city FROM Business AS T1 INNER JOIN Business_Categories AS T2 ON T1.business_id = T2.business_id INNER JOIN Categories AS T3 ON T2.category_id = T3.category_id WHERE T3.category_name = 'Pet Services' | [
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354 | university | bird:train.json:8108 | What is the score of university ID 68 in 2015? | SELECT score FROM university_ranking_year WHERE year = 2015 AND university_id = 68 | [
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355 | address | bird:train.json:5149 | Based on the population in 2020, calculate the percentage for the population of Asian in the zip code where the CBSA was Atmore, AL. | SELECT CAST(T2.asian_population AS REAL) * 100 / T2.population_2010 FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_name = 'Atmore, AL' | [
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356 | movie_3 | bird:train.json:9418 | Please list the full names of all the customers who live in Italy. | SELECT T4.first_name, T4.last_name FROM address AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.city_id INNER JOIN country AS T3 ON T2.country_id = T3.country_id INNER JOIN customer AS T4 ON T1.address_id = T4.address_id WHERE T3.country = 'Italy' | [
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357 | race_track | spider:train_spider.json:758 | What are the names, locations, and years of opening for tracks with seating higher than average? | SELECT name , LOCATION , year_opened FROM track WHERE seating > (SELECT avg(seating) FROM track) | [
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358 | donor | bird:train.json:3288 | What is the total sum of the donations paid with an optional support in projects that reach more than 300 students? | SELECT SUM(T2.dollar_amount) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.students_reached > 300 AND t2.donation_included_optional_support = 't' | [
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359 | movie_3 | bird:train.json:9367 | Tell me the title of the film in which Sandra Kilmer is one of the actors. | SELECT T3.title FROM film_actor AS T1 INNER JOIN actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T1.film_id = T3.film_id WHERE T2.first_name = 'SANDRA' AND T2.last_name = 'KILMER' | [
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360 | movies_4 | bird:train.json:425 | Show the total number of keywords of the movie "I Hope They Serve Beer in Hell". | SELECT COUNT(T2.keyword_id) FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'I Hope They Serve Beer in Hell' | [
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361 | planet_1 | bird:test.json:1910 | what is the total package weight for each planet, list its name ? | select t3.name , sum(t1.weight) from package as t1 join shipment as t2 on t1.shipment = t2.shipmentid join planet as t3 on t2.planet = t3.planetid group by t2.planet; | [
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362 | cre_Doc_and_collections | bird:test.json:667 | What is the detail of document subset with name 'Best for 2000'? | SELECT Document_Subset_Details FROM Document_Subsets WHERE Document_Subset_Name = "Best for 2000"; | [
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363 | beer_factory | bird:train.json:5357 | What is the precise location of the place where Tommy Kono made a purchase in 2014? | SELECT DISTINCT T1.Latitude, T1.Longitude FROM geolocation AS T1 INNER JOIN `transaction` AS T2 ON T2.LocationID = T1.LocationID INNER JOIN customers AS T3 ON T3.CustomerID = T2.CustomerID WHERE T3.First = 'Tommy' AND T3.Last = 'Kono' AND T2.TransactionDate LIKE '2014%' | [
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364 | thrombosis_prediction | bird:dev.json:1181 | For the patient who got the laboratory test of uric acid level as 8.4 on 1991-10-21, how old was he/she at that time? | SELECT STRFTIME('%Y', T2.Date) - STRFTIME('%Y', T1.Birthday) FROM Patient AS T1 INNER JOIN Laboratory AS T2 ON T1.ID = T2.ID WHERE T2.UA = 8.4 AND T2.Date = '1991-10-21' | [
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365 | movie_3 | bird:train.json:9242 | Among the films starred by Nick Wahlberg, what is the percentage of the films with G rating? | SELECT CAST(SUM(IIF(T3.rating = 'G', 1, 0)) AS REAL) / COUNT(T3.film_id) FROM actor AS T1 INNER JOIN film_actor AS T2 ON T1.actor_id = T2.actor_id INNER JOIN film AS T3 ON T2.film_id = T3.film_id WHERE T1.first_name = 'Elvis' AND T1.last_name = 'Marx' | [
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366 | cre_Docs_and_Epenses | spider:train_spider.json:6437 | What is the project detail for the project with document "King Book"? | SELECT T1.project_details FROM Projects AS T1 JOIN Documents AS T2 ON T1.project_id = T2.project_id WHERE T2.document_name = "King Book" | [
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367 | entrepreneur | spider:train_spider.json:2292 | Return the investors who have invested in two or more entrepreneurs. | SELECT Investor FROM entrepreneur GROUP BY Investor HAVING COUNT(*) >= 2 | [
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368 | cre_Students_Information_Systems | bird:test.json:504 | For each student, find the student id, student biographical data, and the number of courses he or she takes. | SELECT T1.student_id , T1.bio_data , count(*) FROM Students AS T1 JOIN Classes AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id | [
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369 | customers_and_orders | bird:test.json:299 | What is the order status code that is most common? | SELECT order_status_code FROM Customer_orders GROUP BY order_status_code ORDER BY count(*) DESC LIMIT 1 | [
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370 | e_commerce | bird:test.json:59 | How many products does each gender buy? | SELECT T1.gender_code , count(*) FROM Customers AS T1 JOIN Orders AS T2 ON T1.customer_id = T2.customer_id JOIN Order_items AS T3 ON T2.order_id = T3.order_id GROUP BY T1.gender_code | [
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371 | coinmarketcap | bird:train.json:6266 | What was the price of Bitcoin when it closed at the end of the day on 2013/4/29? | SELECT T2.close FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.date = '2013-04-29' AND T1.name = 'Bitcoin' | [
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372 | retails | bird:train.json:6863 | Which part has a bigger size, "pink powder drab lawn cyan" or "cornflower sky burlywood green beige"? | SELECT T.p_name FROM ( SELECT p_name, p_size FROM part WHERE p_name IN ('pink powder drab lawn cyan', 'cornflower sky burlywood green beige') ) AS T ORDER BY p_size DESC LIMIT 1 | [
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373 | hockey | bird:train.json:7703 | What was the number of goals did player Id "dyeba01" make in the 1921 Stanley Cup finals? | SELECT G FROM ScoringSC WHERE playerID = 'dyeba01' AND year = 1921 | [
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374 | donor | bird:train.json:3214 | Among the schools' projects whose donation didn't use account credits redemption,how many schools are public magnet schools? | SELECT COUNT(T1.schoolid) FROM projects AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.school_magnet = 't' AND T2.payment_included_acct_credit = 'f' | [
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375 | university | bird:train.json:8116 | Provide the score of the most populated university in 2011. | SELECT T2.score FROM university_year AS T1 INNER JOIN university_ranking_year AS T2 ON T1.university_id = T2.university_id WHERE T1.year = 2011 ORDER BY T1.num_students DESC LIMIT 1 | [
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376 | soccer_2016 | bird:train.json:1833 | Which team has the highest number of losses of all time? | SELECT T1.Team_Name FROM Team AS T1 INNER JOIN ( SELECT COUNT(Team_1) AS a, Team_1 FROM Match WHERE Team_1 <> Match_Winner GROUP BY Team_1 UNION SELECT COUNT(Team_2) AS a, Team_2 FROM Match WHERE Team_2 <> Match_Winner GROUP BY Team_2 ORDER BY a DESC LIMIT 1 ) AS T2 ON T1.Team_Id = T2.Team_1 | [
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377 | authors | bird:train.json:3658 | How many papers were published in 2005. Calculate the difference between the number of paper published in 2005 and the number of paper published in the previous year. | SELECT SUM(CASE WHEN Year = 2005 THEN 1 ELSE 0 END) , SUM(CASE WHEN year = 2005 THEN 1 ELSE 0 END) - SUM(CASE WHEN year = 2004 THEN 1 ELSE 0 END) AS diff FROM Paper | [
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378 | planet_1 | bird:test.json:1903 | Which planet has most shipments? List the planet name. | SELECT T2.Name FROM Shipment AS T1 JOIN Planet AS T2 ON T1.Planet = T2.PlanetID GROUP BY T1.Planet ORDER BY count(*) DESC LIMIT 1; | [
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379 | retails | bird:train.json:6887 | On which date was the part "burnished seashell gainsboro navajo chocolate" in order no.1 shipped? | SELECT T1.l_shipdate FROM lineitem AS T1 INNER JOIN part AS T2 ON T1.l_partkey = T2.p_partkey WHERE T1.l_orderkey = 1 AND T2.p_name = 'burnished seashell gainsboro navajo chocolate' | [
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"id": 8,
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380 | restaurant_bills | bird:test.json:628 | Show the most common nationality of customers. | SELECT Nationality FROM customer GROUP BY Nationality ORDER BY COUNT(*) DESC LIMIT 1 | [
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"id": 1,
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381 | tracking_grants_for_research | spider:train_spider.json:4382 | List the organisation id with the maximum outcome count, and the count. | SELECT T1.organisation_id , count(*) FROM Projects AS T1 JOIN Project_outcomes AS T2 ON T1.project_id = T2.project_id GROUP BY T1.organisation_id ORDER BY count(*) DESC LIMIT 1 | [
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382 | toxicology | bird:dev.json:223 | What are the atom IDs of the bond TR000_2_5? | SELECT T.atom_id FROM connected AS T WHERE T.bond_id = 'TR000_2_5' | [
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383 | school_finance | spider:train_spider.json:1897 | Show the names of donors who donated to both school "Glenn" and "Triton." | SELECT T1.donator_name FROM endowment AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id WHERE T2.school_name = 'Glenn' INTERSECT SELECT T1.donator_name FROM endowment AS T1 JOIN school AS T2 ON T1.school_id = T2.school_id WHERE T2.school_name = 'Triton' | [
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"id": 0,
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{
"id": 6,
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"value": "school_id"
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{
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] |
384 | hockey | bird:train.json:7656 | Please list the Nicknames of the players who got in the Hall of Fame in 2007. | SELECT DISTINCT T1.nameNick FROM Master AS T1 INNER JOIN HOF AS T2 ON T1.hofID = T2.hofID WHERE T2.year = 2007 | [
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385 | mountain_photos | spider:train_spider.json:3711 | How many camera lenses have a focal length longer than 15 mm? | SELECT count(*) FROM camera_lens WHERE focal_length_mm > 15 | [
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386 | art_1 | bird:test.json:1289 | What are largest height and width dimensions for paintings in each year? | SELECT max(height_mm) , max(width_mm) , YEAR FROM paintings GROUP BY YEAR ORDER BY YEAR | [
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] |
388 | codebase_comments | bird:train.json:653 | What the percentage of the english methods among the methods whose comments is XML format? | SELECT CAST(SUM(CASE WHEN Lang = 'en' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(Name) FROM Method WHERE CommentIsXml = 1 | [
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] | [
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"id": 1,
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"value": "name"
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{
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"type": "column",
"value": "lang"
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"id": 3,
"type": "value",
"value": "1... | [
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] |
389 | sales_in_weather | bird:train.json:8147 | How many units of item no.5 were sold in store no.3 on the day the temperature range was the biggest? | SELECT t2.units FROM relation AS T1 INNER JOIN sales_in_weather AS T2 ON T1.store_nbr = T2.store_nbr INNER JOIN weather AS T3 ON T1.station_nbr = T3.station_nbr WHERE T2.store_nbr = 3 AND T2.item_nbr = 5 ORDER BY t3.tmax - t3.tmin DESC LIMIT 1 | [
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390 | university | bird:train.json:8008 | Give the year where a university had the lowest number of students. | SELECT year FROM university_year ORDER BY num_students ASC LIMIT 1 | [
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391 | donor | bird:train.json:3234 | Is the donor of the project 'Calculate, Financial Security For Tomorrow Starts Today! ' a teacher? | SELECT T2.is_teacher_acct FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T1.title LIKE 'Calculate, Financial Security For Tomorrow Starts Today! ' | [
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"id": 2,
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392 | college_2 | spider:train_spider.json:1333 | Give the name of the student in the History department with the most credits. | SELECT name FROM student WHERE dept_name = 'History' ORDER BY tot_cred DESC LIMIT 1 | [
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393 | regional_sales | bird:train.json:2726 | Among the products with an order quantity of no less than 5 that was shipped in the month of May 2019, what is the name of the product with the lowest net profit? | SELECT T2.`Product Name` FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID WHERE T1.`Order Quantity` > 5 AND ShipDate LIKE '5/%/19' ORDER BY REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '') ASC LIMIT 1 | [
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394 | talkingdata | bird:train.json:1113 | List at least 3 categories with the lowest number of users. | SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id ORDER BY T2.label_id LIMIT 3 | [
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"id": 0,
"type": "column",
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{
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"O",
"O"
] |
395 | performance_attendance | spider:train_spider.json:1307 | How many performances are there? | SELECT count(*) FROM performance | [
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"are",
"there",
"?"
] | [
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"id": 0,
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396 | musical | spider:train_spider.json:269 | What are the names of musicals who have no actors? | SELECT Name FROM musical WHERE Musical_ID NOT IN (SELECT Musical_ID FROM actor) | [
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397 | retail_complains | bird:train.json:373 | List the full names and phone numbers of clients that were from the Pacific. | SELECT T1.first, T1.middle, T1.last, T1.phone FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'Pacific' | [
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] |
398 | world_development_indicators | bird:train.json:2099 | What is the description of the footnote on the series code AG.LND.FRST.K2 in 1990 for Aruba? | SELECT T2.Description FROM Country AS T1 INNER JOIN FootNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.ShortName = 'Aruba' AND T2.Seriescode = 'AG.LND.FRST.K2' AND T2.Year = 'YR1990' | [
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399 | customers_and_products_contacts | spider:train_spider.json:5662 | Show the minimum, maximum, average price for all products. | SELECT min(product_price) , max(product_price) , avg(product_price) FROM products | [
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"id": 1,
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{
"id": 0,
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] |
401 | shipping | bird:train.json:5584 | How many shipments in 2017 were done by Sue Newell? | SELECT COUNT(*) FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE STRFTIME('%Y', T1.ship_date) = '2017' AND T2.first_name = 'Sue' AND T2.last_name = 'Newell' | [
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"id": 4,
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"id": 2,
"type": "column",
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"id": 6,
"type": "column",
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{
"id": 9,
"type": "column",
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"id": 0,
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] |
402 | law_episode | bird:train.json:1275 | Who is the tallest camera operator? | SELECT T2.name FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T1.role = 'camera operator' ORDER BY T2.height_meters DESC LIMIT 1 | [
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"id": 4,
"type": "value",
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{
"id": 5,
"type": "column",
"value": "height_meters"
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"id": 6,
"type": "column",
"value": "person_id"
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{
"id": 1,
"type": "table",
"value": "credit"
},
{
"id": 2,
"type": "table",... | [
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403 | perpetrator | spider:train_spider.json:2313 | What are the names of perpetrators in country "China" or "Japan"? | SELECT T1.Name FROM people AS T1 JOIN perpetrator AS T2 ON T1.People_ID = T2.People_ID WHERE T2.Country = "China" OR T2.Country = "Japan" | [
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"value": "country"
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{
"id": 1,
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] |
404 | simpson_episodes | bird:train.json:4304 | What is the average height of people from USA? | SELECT AVG(height_meters) FROM Person WHERE birth_country = 'USA'; | [
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"the",
"average",
"height",
"of",
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"USA",
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"id": 1,
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{
"id": 3,
"type": "column",
"value": "height_meters"
},
{
"id": 0,
"type": "table",
"value": "person"
},
{
"id": 2,
"type": "value",
"value": "USA"
}
] | [
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405 | card_games | bird:dev.json:435 | How many card border with black color ? List out the card id. | SELECT id FROM cards WHERE borderColor = 'black' GROUP BY id | [
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{
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] |
407 | financial | bird:dev.json:113 | For the client who applied 98832 USD loan in 1996/1/3, when was his/her birthday? | SELECT T4.birth_date FROM loan AS T1 INNER JOIN account AS T2 ON T1.account_id = T2.account_id INNER JOIN disp AS T3 ON T2.account_id = T3.account_id INNER JOIN client AS T4 ON T3.client_id = T4.client_id WHERE T1.date = '1996-01-03' AND T1.amount = 98832 | [
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] |
408 | world_development_indicators | bird:train.json:2132 | What is the minimum of International migrant stock, total of heavily indebted poor countries? | SELECT MIN(T2.Value) FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.OtherGroups = 'HIPC' AND T2.IndicatorName = 'International migrant stock, total' | [
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{
"id": 3,
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"value": "countrycode"
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{
"id": 4,
"type": "column",
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"i... | [
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410 | station_weather | spider:train_spider.json:3158 | show all train numbers and names ordered by their time from early to late. | SELECT train_number , name FROM train ORDER BY TIME | [
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] | [
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"type": "column",
"value": "name"
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"value": "time"
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] |
411 | behavior_monitoring | spider:train_spider.json:3111 | What are the code and description of the least frequent detention type ? | SELECT T1.detention_type_code , T2.detention_type_description FROM Detention AS T1 JOIN Ref_Detention_Type AS T2 ON T1.detention_type_code = T2.detention_type_code GROUP BY T1.detention_type_code ORDER BY count(*) ASC LIMIT 1 | [
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"id": 1,
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"id": 0,
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{
"id": 3,
"type": "table",
"value": "ref_detention_type"
},
{
"id": 2,
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"value": "detention"
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] |
412 | flight_4 | spider:train_spider.json:6835 | Find the names of the top 10 airlines that operate the most number of routes. | SELECT T1.name , T2.alid FROM airlines AS T1 JOIN routes AS T2 ON T1.alid = T2.alid GROUP BY T2.alid ORDER BY count(*) DESC LIMIT 10 | [
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"id": 2,
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"type": "column",
"value": "alid"
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{
"id": 1,
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"value": "name"
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413 | activity_1 | spider:train_spider.json:6725 | Show ids for all the male faculty. | SELECT FacID FROM Faculty WHERE Sex = 'M' | [
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"id": 0,
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"type": "column",
"value": "sex"
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"id": 3,
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] |
414 | food_inspection | bird:train.json:8846 | List the tax code and inspection type of the business named "Rue Lepic". | SELECT DISTINCT T3.tax_code, T2.type FROM violations AS T1 INNER JOIN inspections AS T2 ON T1.business_id = T2.business_id INNER JOIN businesses AS T3 ON T2.business_id = T3.business_id WHERE T3.name = 'Rue Lepic' | [
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"."
] | [
{
"id": 6,
"type": "table",
"value": "inspections"
},
{
"id": 7,
"type": "column",
"value": "business_id"
},
{
"id": 2,
"type": "table",
"value": "businesses"
},
{
"id": 5,
"type": "table",
"value": "violations"
},
{
"id": 4,
"type": "value",
... | [
{
"entity_id": 0,
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2,
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]
},
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]
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]
},
{
"entity_id": 3,
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10
]
},
{
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12,
... | [
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"O",
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"O",
"O",
"B-TABLE",
"B-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"O",
"O"
] |
415 | works_cycles | bird:train.json:7049 | Please list the unit measure code of the component that is of the greatest need in quantity to create the assembly. | SELECT UnitMeasureCode FROM BillOfMaterials ORDER BY PerAssemblyQty DESC LIMIT 1 | [
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"."
] | [
{
"id": 0,
"type": "table",
"value": "billofmaterials"
},
{
"id": 1,
"type": "column",
"value": "unitmeasurecode"
},
{
"id": 2,
"type": "column",
"value": "perassemblyqty"
}
] | [
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"entity_id": 0,
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},
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},
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},
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},
{
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"token_idxs": []
},
{
"entity_id": 5,... | [
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"I-COLUMN",
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"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O"
] |
416 | student_club | bird:dev.json:1459 | What is the major of Garrett Gerke and which department does it belong to? | SELECT T2.major_name, T2.department FROM member AS T1 INNER JOIN major AS T2 ON T2.major_id = T1.link_to_major WHERE T1.first_name = 'Garrett' AND T1.last_name = 'Gerke' | [
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"?"
] | [
{
"id": 5,
"type": "column",
"value": "link_to_major"
},
{
"id": 0,
"type": "column",
"value": "major_name"
},
{
"id": 1,
"type": "column",
"value": "department"
},
{
"id": 6,
"type": "column",
"value": "first_name"
},
{
"id": 8,
"type": "colum... | [
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"entity_id": 0,
"token_idxs": []
},
{
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},
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},
{
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]
},
{
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"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": ... | [
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"B-VALUE",
"O",
"O",
"B-COLUMN",
"O",
"O",
"O",
"O",
"O"
] |
417 | ship_mission | spider:train_spider.json:4013 | What is the most common type of ships? | SELECT TYPE FROM ship GROUP BY TYPE ORDER BY COUNT(*) DESC LIMIT 1 | [
"What",
"is",
"the",
"most",
"common",
"type",
"of",
"ships",
"?"
] | [
{
"id": 0,
"type": "table",
"value": "ship"
},
{
"id": 1,
"type": "column",
"value": "type"
}
] | [
{
"entity_id": 0,
"token_idxs": [
7
]
},
{
"entity_id": 1,
"token_idxs": [
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]
},
{
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},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": ... | [
"O",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O"
] |
418 | company_office | spider:train_spider.json:4547 | What are the names of companies whose headquarters are not "USA"? | SELECT name FROM Companies WHERE Headquarters != 'USA' | [
"What",
"are",
"the",
"names",
"of",
"companies",
"whose",
"headquarters",
"are",
"not",
"\"",
"USA",
"\"",
"?"
] | [
{
"id": 2,
"type": "column",
"value": "headquarters"
},
{
"id": 0,
"type": "table",
"value": "companies"
},
{
"id": 1,
"type": "column",
"value": "name"
},
{
"id": 3,
"type": "value",
"value": "USA"
}
] | [
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},
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]
},
{
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]
},
{
"entity_id": 3,
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11
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity... | [
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"O",
"B-TABLE",
"O",
"B-COLUMN",
"O",
"O",
"O",
"B-VALUE",
"O",
"O"
] |
419 | cs_semester | bird:train.json:862 | Please list the full names of all the students who took the course Machine Learning Theory. | SELECT T1.f_name, T1.l_name FROM student AS T1 INNER JOIN registration AS T2 ON T1.student_id = T2.student_id INNER JOIN course AS T3 ON T2.course_id = T3.course_id WHERE T3.name = 'Machine Learning Theory' | [
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"Machine",
"Learning",
"Theory",
"."
] | [
{
"id": 4,
"type": "value",
"value": "Machine Learning Theory"
},
{
"id": 6,
"type": "table",
"value": "registration"
},
{
"id": 8,
"type": "column",
"value": "student_id"
},
{
"id": 7,
"type": "column",
"value": "course_id"
},
{
"id": 5,
"type... | [
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},
{
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},
{
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},
{
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"token_idxs": [
4
]
},
{
"entity_id": 4,
"token_idxs": [
13,
14,
15
]
},
{
... | [
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"O",
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"O",
"B-TABLE",
"O",
"O",
"O",
"B-TABLE",
"B-VALUE",
"I-VALUE",
"I-VALUE",
"O"
] |
420 | sing_contest | bird:test.json:755 | How many songs listed are not performed? | SELECT count(*) FROM songs WHERE id NOT IN ( SELECT songs_id FROM performance_score ); | [
"How",
"many",
"songs",
"listed",
"are",
"not",
"performed",
"?"
] | [
{
"id": 2,
"type": "table",
"value": "performance_score"
},
{
"id": 3,
"type": "column",
"value": "songs_id"
},
{
"id": 0,
"type": "table",
"value": "songs"
},
{
"id": 1,
"type": "column",
"value": "id"
}
] | [
{
"entity_id": 0,
"token_idxs": [
2
]
},
{
"entity_id": 1,
"token_idxs": []
},
{
"entity_id": 2,
"token_idxs": [
6
]
},
{
"entity_id": 3,
"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
"token_idxs": ... | [
"O",
"O",
"B-TABLE",
"O",
"O",
"O",
"B-TABLE",
"O"
] |
421 | book_review | bird:test.json:598 | What are the titles of books that are not "Poet"? | SELECT Title FROM book WHERE TYPE != "Poet" | [
"What",
"are",
"the",
"titles",
"of",
"books",
"that",
"are",
"not",
"\"",
"Poet",
"\"",
"?"
] | [
{
"id": 1,
"type": "column",
"value": "title"
},
{
"id": 0,
"type": "table",
"value": "book"
},
{
"id": 2,
"type": "column",
"value": "type"
},
{
"id": 3,
"type": "column",
"value": "Poet"
}
] | [
{
"entity_id": 0,
"token_idxs": [
5
]
},
{
"entity_id": 1,
"token_idxs": [
3
]
},
{
"entity_id": 2,
"token_idxs": []
},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id": 5,
... | [
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"O",
"O",
"B-COLUMN",
"O",
"B-TABLE",
"O",
"O",
"O",
"O",
"B-COLUMN",
"O",
"O"
] |
422 | superhero | bird:dev.json:727 | Who is the publisher of Sauron? | SELECT T2.publisher_name FROM superhero AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.id WHERE T1.superhero_name = 'Sauron' | [
"Who",
"is",
"the",
"publisher",
"of",
"Sauron",
"?"
] | [
{
"id": 0,
"type": "column",
"value": "publisher_name"
},
{
"id": 3,
"type": "column",
"value": "superhero_name"
},
{
"id": 5,
"type": "column",
"value": "publisher_id"
},
{
"id": 1,
"type": "table",
"value": "superhero"
},
{
"id": 2,
"type": "... | [
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
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},
{
"entity_id": 2,
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3
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},
{
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"token_idxs": []
},
{
"entity_id": 4,
"token_idxs": [
5
]
},
{
"entity_id": 5,
"token_idxs": ... | [
"O",
"O",
"O",
"B-TABLE",
"O",
"B-VALUE",
"O"
] |
423 | dorm_1 | spider:train_spider.json:5764 | Find the first name and age of students who are living in the dorms that do not have amenity TV Lounge. | SELECT T1.fname , T1.age FROM student AS T1 JOIN lives_in AS T2 ON T1.stuid = T2.stuid WHERE T2.dormid NOT IN (SELECT T3.dormid FROM has_amenity AS T3 JOIN dorm_amenity AS T4 ON T3.amenid = T4.amenid WHERE T4.amenity_name = 'TV Lounge') | [
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"."
] | [
{
"id": 7,
"type": "table",
"value": "dorm_amenity"
},
{
"id": 8,
"type": "column",
"value": "amenity_name"
},
{
"id": 6,
"type": "table",
"value": "has_amenity"
},
{
"id": 9,
"type": "value",
"value": "TV Lounge"
},
{
"id": 3,
"type": "table",... | [
{
"entity_id": 0,
"token_idxs": [
3
]
},
{
"entity_id": 1,
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5
]
},
{
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},
{
"entity_id": 3,
"token_idxs": [
10
]
},
{
"entity_id": 4,
"token_idxs": [
7
]
},
{
"entity... | [
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"B-COLUMN",
"O",
"O",
"O",
"O",
"B-COLUMN",
"B-VALUE",
"I-VALUE",
"O"
] |
424 | restaurant | bird:train.json:1720 | List every city in San Mateo County. | SELECT city FROM geographic WHERE county = 'san mateo county' | [
"List",
"every",
"city",
"in",
"San",
"Mateo",
"County",
"."
] | [
{
"id": 3,
"type": "value",
"value": "san mateo county"
},
{
"id": 0,
"type": "table",
"value": "geographic"
},
{
"id": 2,
"type": "column",
"value": "county"
},
{
"id": 1,
"type": "column",
"value": "city"
}
] | [
{
"entity_id": 0,
"token_idxs": []
},
{
"entity_id": 1,
"token_idxs": [
2
]
},
{
"entity_id": 2,
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6
]
},
{
"entity_id": 3,
"token_idxs": [
4,
5
]
},
{
"entity_id": 4,
"token_idxs": []
},
{
"entity_id":... | [
"O",
"O",
"B-COLUMN",
"O",
"B-VALUE",
"I-VALUE",
"B-COLUMN",
"O"
] |
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