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university | Compute the average percentage of female students. | average percentage of female students refers to avg(pct_female_students) | SELECT AVG(pct_female_students) FROM university_year | 400 | simple |
olympics | List out all the gold medalist winners in cycling sport. | gold medalist winners refer to full_name where medal_name = 'Gold'; cycling sport refers to sport_name = 'Cycling'; | SELECT DISTINCT T5.full_name FROM event AS T1 INNER JOIN competitor_event AS T2 ON T1.id = T2.event_id INNER JOIN games_competitor AS T3 ON T2.competitor_id = T3.id INNER JOIN sport AS T4 ON T1.sport_id = T4.id INNER JOIN person AS T5 ON T3.person_id = T5.id WHERE T4.sport_name = 'Cycling' AND T2.medal_id = 1 | 401 | moderate |
retail_world | List out the phone number of the shipping company of order id 10296. | shipping company refers to Shippers; phone number refers to Phone | SELECT T2.Phone FROM Orders AS T1 INNER JOIN Shippers AS T2 ON T1.ShipVia = T2.ShipperID WHERE T1.OrderID = 10260 | 402 | simple |
airline | What is the name of the airline with the highest number of non-cancelled flights? | names of the airlines refers to Description; highest number of non-cancelled flights refers to MAX(COUNT(CANCELLED = 0)); | SELECT T2.Description FROM Airlines AS T1 INNER JOIN `Air Carriers` AS T2 ON T1.OP_CARRIER_AIRLINE_ID = T2.Code WHERE T1.CANCELLED = 0 GROUP BY T2.Description ORDER BY COUNT(T1.CANCELLED) DESC LIMIT 1 | 403 | simple |
address | Give at least five alias of cities with a postal point of post office. | postal point of post office refers to type = 'Post Office'; | SELECT T1.alias FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.type = 'Post Office' LIMIT 5 | 404 | simple |
synthea | List out all the observation information collected for the patient named Bella Rolfson. | observation information refers to observations.DESCRIPTION AND observations.VALUE AND observations.UNITS; | SELECT DISTINCT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Bella' AND T1.last = 'Rolfson' | 405 | simple |
shipping | How many shipments were shipped to customers living in California in year 2016? | living in California refers to state = 'CA'; in year 2016 refers to CAST(ship_date AS DATE) = 2016 | SELECT COUNT(*) AS per FROM customer AS T1 INNER JOIN shipment AS T2 ON T1.cust_id = T2.cust_id WHERE STRFTIME('%Y', T2.ship_date) = '2016' AND T1.state = 'CA' | 406 | simple |
image_and_language | How many images contain 'bridge' as an object element? | images refers to IMG_ID; 'bridge' as an object element refers to OBJ_CLASS = 'bridge' | SELECT COUNT(DISTINCT T1.IMG_ID) FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID WHERE T2.OBJ_CLASS = 'bridge' | 407 | simple |
shakespeare | Please list the IDs of the paragraphs in which the character "son to Tamora" appears. | character "son to Tamora" refers to characters.Description = 'son to Tamora' | SELECT T1.id FROM paragraphs AS T1 INNER JOIN characters AS T2 ON T1.character_id = T2.id WHERE T2.Description = 'son to Tamora' | 408 | simple |
works_cycles | What is the currency of Brazil? | SELECT T1.Name FROM Currency AS T1 INNER JOIN CountryRegionCurrency AS T2 ON T1.CurrencyCode = T2.CurrencyCode INNER JOIN CountryRegion AS T3 ON T2.CountryRegionCode = T3.CountryRegionCode WHERE T3.Name = 'Brazil' | 409 | simple |
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books | Which language was book id 1405 written in? | language written in refers to language_name; | SELECT T2.language_name FROM book AS T1 INNER JOIN book_language AS T2 ON T1.language_id = T2.language_id WHERE T1.book_id = 1405 | 410 | simple |
address | Give the country and area code of the city with zip code 1116. | SELECT T2.county, T1.area_code FROM area_code AS T1 INNER JOIN country AS T2 ON T1.zip_code = T2.zip_code WHERE T1.zip_code = 1116 | 411 | simple |
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ice_hockey_draft | Who has played the most game plays in the 2000-2001 season of the International league? | played the most game plays refers to MAX(GP); 2000-2001 season refers to SEASON = '2000-2001'; International league refers to LEAGUE = 'International'; | SELECT DISTINCT T2.PlayerName FROM SeasonStatus AS T1 INNER JOIN PlayerInfo AS T2 ON T1.ELITEID = T2.ELITEID WHERE T1.SEASON = '2000-2001' AND T1.LEAGUE = 'International' ORDER BY T1.GP DESC LIMIT 1 | 412 | moderate |
university | Provide the ranking criteria and scores in 2005 that were received by Harvard University. | Harvard University refers to university_name = 'Harvard University'; in 2005 refers to year = 2005; ranking criteria refers to criteria_name; | SELECT T1.criteria_name, T2.score FROM ranking_criteria AS T1 INNER JOIN university_ranking_year AS T2 ON T1.id = T2.ranking_criteria_id INNER JOIN university AS T3 ON T3.id = T2.university_id WHERE T3.university_name = 'Harvard University' AND T2.year = 2005 | 413 | simple |
regional_sales | Which regions have online sales channels that have the most discounts? | most discount refers to Max(Discount Applied) | SELECT T2.Region FROM `Sales Orders` AS T1 INNER JOIN `Sales Team` AS T2 ON T2.SalesTeamID = T1._SalesTeamID WHERE T1.`Sales Channel` = 'Online' ORDER BY T1.`Discount Applied` DESC LIMIT 1 | 414 | simple |
books | What are the books published by "Harper Collins"? | "Harper Collins" is the publisher_name; books refers to title | SELECT T1.title FROM book AS T1 INNER JOIN publisher AS T2 ON T1.publisher_id = T2.publisher_id WHERE T2.publisher_name = 'Harper Collins' | 415 | simple |
mondial_geo | What kind of government does Iran have? | Uganda is one of country names | SELECT T2.Government FROM country AS T1 INNER JOIN politics AS T2 ON T1.Code = T2.Country WHERE T1.Name = 'Iran' | 416 | simple |
hockey | Among the players who died in Massachussets, how many of them have won an award? | died in Massachussets refers to deathState = 'Massachussets' | SELECT COUNT(DISTINCT T1.playerID) FROM Master AS T1 INNER JOIN AwardsPlayers AS T2 ON T1.playerID = T2.playerID WHERE T1.deathState = 'MA' | 417 | simple |
professional_basketball | List the team name and the total wins of the team in year 2005 which has greater winning from the previous year. | 2005 refers to year = 2005 ; previous year refers to year = 2004; team with greater winning than previous year refers to Won where year = 2005 > Won where year = 2004; team name refers to tmID | SELECT T1.name, T1.won FROM teams AS T1 INNER JOIN ( SELECT * FROM teams WHERE year = 2004 ) AS T2 on T1.tmID = T2.tmID WHERE T1.year = 2005 and T1.won > T2.won | 418 | simple |
address | What is the Asian population in the city with the alias Leeds? | SELECT SUM(T2.asian_population) FROM alias AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.alias = 'Leeds' | 419 | simple |
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movie_platform | Name movie titles released in year 1945. Sort the listing by the descending order of movie popularity. | released in the year 1945 refers to movie_release_year = 1945; | SELECT movie_title FROM movies WHERE movie_release_year = 1945 ORDER BY movie_popularity DESC LIMIT 1 | 420 | simple |
public_review_platform | What is the average rating of inactive businesses? | rating refers to stars; inactive refers to active = 'False'; average rating of inactive businesses = DIVIDE(SUM(stars), COUNT(business_id)); | SELECT CAST(SUM(stars) AS REAL) / COUNT(business_id) AS "average" FROM Business WHERE active LIKE 'FALSE' | 421 | simple |
books | How many orders got returned in 2022? | orders got returned refers to status_value = 'Returned'; in 2022 refers to SUBSTR(status_date, 1, 4) = '2022' | SELECT COUNT(*) FROM order_status AS T1 INNER JOIN order_history AS T2 ON T1.status_id = T2.status_id WHERE T1.status_value = 'Returned' AND STRFTIME('%Y', T2.status_date) = '2022' | 422 | simple |
talkingdata | For the device with an event occurring on 2016/5/1 at 0:55:25, what is the gender of its user? | on 2016/5/1 at 0:55:25 refers to timestamp = '2016-05-01 00:55:25'; | SELECT T1.gender FROM gender_age AS T1 INNER JOIN events AS T2 ON T1.device_id = T2.device_id WHERE T2.timestamp = '2016-05-01 00:55:25' | 423 | simple |
mondial_geo | What is the GDP for Service of the country with Fuenlabrada as its city. | SELECT T4.Service * T4.GDP FROM country AS T1 INNER JOIN province AS T2 ON T1.Code = T2.Country INNER JOIN city AS T3 ON T3.Province = T2.Name INNER JOIN economy AS T4 ON T4.Country = T2.Country WHERE T3.Name = 'Fuenlabrada' | 424 | simple |
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chicago_crime | In the most populated ward, how many incidents of domestic violence were reported in a bar or tavern? | the most populated refers to max(population); domestic violence refers to domestic = 'TRUE'; in a bar or tavern refers to location_description = 'BAR OR TAVERN' | SELECT COUNT(T2.report_no) FROM Ward AS T1 INNER JOIN Crime AS T2 ON T1.ward_no = T2.ward_no WHERE T2.domestic = 'TRUE' AND T2.location_description = 'BAR OR TAVERN' ORDER BY T1.Population DESC LIMIT 1 | 425 | moderate |
authors | What is the title of the paper with the most authors? | paper refers to paper.Id; paper with the most authors refers to MAX(PaperAuthor.PaperId) | SELECT T2.Title FROM PaperAuthor AS T1 INNER JOIN Paper AS T2 ON T1.PaperId = T2.Id GROUP BY T1.PaperId ORDER BY COUNT(T1.PaperId) DESC LIMIT 1 | 426 | simple |
law_episode | What is the average rating for each episode in season 9? | average rating = divide(sum(rating), count(episode_id)) | SELECT SUM(rating) / COUNT(episode_id) FROM Episode WHERE season = 9 | 427 | simple |
codebase_comments | What is the task of the method whose tokenized name is "online median filter test median window filling"? | tokenized name refers to NameTokenized; task of the method refers to the second part of name deliminated by "."; for example, the task of 'LinqToDelicious.HttpWebRequestFactory.Create' is 'HttpWebRequestFactory' | SELECT SUBSTR(SUBSTR(Name, INSTR(Name, '.') + 1), 1, INSTR(SUBSTR(Name, INSTR(Name, '.') + 1), '.') - 1) task FROM Method WHERE NameTokenized = 'online median filter test median window filling' | 428 | moderate |
bike_share_1 | How many bikes can be borrowed in San Jose Diridon Caltrain Station at 12:06:01 on 2013/8/29? | number of bikes that can be borrowed refers to bikes_available; San Jose Diridon Caltrain Station refers to name = 'San Jose Diridon Caltrain Station'; time = '2013/8/29 12:06:01' | SELECT T2.bikes_available FROM station AS T1 INNER JOIN status AS T2 ON T1.id = T2.station_id WHERE T1.name = 'San Jose Diridon Caltrain Station' AND T2.time = '2013/08/29 12:06:01' | 429 | simple |
works_cycles | How many of the work orders didn’t meet the due date? | workers who did not meet the due date refers to EndDate>DueDate; | SELECT COUNT(WorkOrderID) FROM WorkOrder WHERE EndDate > DueDate | 430 | simple |
authors | Who are the co-authors for Jei Keon Chae and what is the title of paper written by them? | 'Jei Keon Chee' is the name of author; | SELECT T2.AuthorId, T1.Title FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Name = 'Jei Keon Chae' | 431 | simple |
bike_share_1 | What is the location coordinates of the bike station from which the bike for the trip that last the longest was borrowed? | location coordinates refers to (lat, long); bike that was borrowed the longest refers to MAX(duration); | SELECT T2.lat, T2.long FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.duration = ( SELECT MAX(T1.duration) FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name ) | 432 | moderate |
computer_student | How many advisors are in charge of advising all the students in 1st year? | advisors refers to p_id_dummy; students in 1st year refers to student = 1 and yearsInProgram = 'Year_1' | SELECT COUNT(T1.p_id_dummy) FROM advisedBy AS T1 INNER JOIN person AS T2 ON T1.p_id = T2.p_id WHERE T2.yearsInProgram = 'Year_1' AND T2.student = 1 | 433 | simple |
public_review_platform | List out the user who is an elite user for consecutively 5 years or more and what is the user average star? How many likes does this user gets? | elite user for consecutively 5 years or more refers to user_id COUNT(year_id) > 5; Average star = AVG(likes) | SELECT T2.user_average_stars, COUNT(T3.likes) FROM Elite AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id INNER JOIN Tips AS T3 ON T3.user_id = T2.user_id GROUP BY T1.user_id HAVING COUNT(T1.user_id) > 5 | 434 | moderate |
computer_student | How many students are advised to teach by a professor teaching basic or medium undergraduate courses? | students refers to advisedBy.p_id; professor refers to p_id_dummy and taughtBy.p_id and professor = 1; basic or medium undergraduate courses refers to courseLevel = 'Level_300' | SELECT COUNT(DISTINCT T4.p_id) FROM person AS T1 INNER JOIN taughtBy AS T2 ON T1.p_id = T2.p_id INNER JOIN course AS T3 ON T3.course_id = T2.course_id INNER JOIN advisedBy AS T4 ON T4.p_id = T1.p_id WHERE T1.professor = 1 AND T3.courseLevel = 'Level_300' | 435 | moderate |
retail_complains | List the product and its issues of the complains of clients with age greater than the 60% of average age of all clients. | age greater than the 60% of average age refers to age > multiply(avg(age) , 0.6) | SELECT DISTINCT T2.Product, T2.Issue FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.age * 100 > ( SELECT AVG(age) * 60 FROM client ) | 436 | moderate |
retails | What is the total price of all the orders made by customers in Germany? | orders refer to o_orderkey; total price refers to o_totalprice; Germany is the name of the nation which refers to n_name = 'GERMANY'; | SELECT SUM(T3.o_totalprice) FROM nation AS T1 INNER JOIN customer AS T2 ON T1.n_nationkey = T2.c_nationkey INNER JOIN orders AS T3 ON T2.c_custkey = T3.o_custkey WHERE T1.n_name = 'GERMANY' | 437 | simple |
social_media | State the number of states in the United Kingdom. | "United Kingdom" is the Country | SELECT COUNT(State) AS State_number FROM location WHERE Country = 'United Kingdom' | 438 | simple |
movie_3 | Give the postal code for the address No.65. | address no. 65 refers to address_id = 65 | SELECT postal_code FROM address WHERE address_id = 65 | 439 | simple |
retail_complains | Complaint about Credit Card mostly came from clients of which age group? | about Credit Card refers to Product = 'Credit Card'; teenager refers to 13 < age < = 19; adult refers to 19 < age < = 65; elder refers to age < = 65 | SELECT SUM(CASE WHEN T1.age > 13 AND T1.age <= 19 THEN 1 ELSE 0 END), SUM(CASE WHEN T1.age > 19 AND T1.age <= 65 THEN 1 ELSE 0 END) AS adult , SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END) AS elder FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Product = 'Credit card' | 440 | moderate |
cs_semester | Which student failed the course Intro to Database 2? Please give his or her full name. | If grade is NULL, it means that this student fails to pass the course; full name refers to f_name and l_name; | 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 T2.grade IS NULL AND T3.name = 'Intro to Database 2' | 441 | simple |
works_cycles | Which type of transaction was it for the "LL Road Handlebars" order happened in 2012/11/3? | Transactiontype = 'w' means 'WorkOrder'; transactiontype = 's' means 'SalesOrder'; transactiontype = 'P' means 'PurchaseOrder'; happened in refers to TransactionDate | SELECT T1.TransactionType FROM TransactionHistoryArchive AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T2.Name = 'LL Road Handlebars' AND STRFTIME('%Y-%m-%d',T1.TransactionDate) = '2012-11-03' | 442 | moderate |
professional_basketball | Please list down the last name of players from "BLB" team. | "BLB" is the tmID | SELECT T1.lastName FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID WHERE T2.tmID = 'BLB' | 443 | simple |
movie_3 | Please provide the address of the customer whose first name is SUSAN with the postal code 77948. | SELECT T1.address FROM address AS T1 INNER JOIN customer AS T2 ON T1.address_id = T2.address_id WHERE T2.first_name = 'SUSAN' AND T1.postal_code = 77948 | 444 | simple |
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retail_complains | Give the client ID of the complaint received on April 16, 2014 and submitted through fax. | April 16, 2014 refers to Date received = '2014-04-16'; submitted through fax refers to Submitted via = 'Fax' | SELECT T2.Client_ID FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.`Submitted via` = 'Fax' AND T1.`Date received` = '2014-04-16' | 445 | simple |
ice_hockey_draft | List out the name of players who have a height of 5'8". | name of players refers to PlayerName; height of 5'8" refers to height_in_inch = '5''8"'; | SELECT T2.PlayerName FROM height_info AS T1 INNER JOIN PlayerInfo AS T2 ON T1.height_id = T2.height WHERE T1.height_in_inch = '5''8"' | 446 | simple |
movie | Who played the character named "Chanice Kobolowski"? | SELECT T2.Name FROM characters AS T1 INNER JOIN actor AS T2 ON T1.ActorID = T2.ActorID WHERE T1.`Character Name` = 'Chanice Kobolowski' | 447 | simple |
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retail_complains | How many complaints have the client Diesel Galloway filed? | SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Diesel' AND T1.last = 'Galloway' | 448 | simple |
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olympics | What is the percentage of the people who are under 35 and participated in the summer season? | DIVIDE(COUNT(age < 35) / COUNT(person_id)) as percentage where season = 'Summer'; | SELECT CAST(COUNT(CASE WHEN T2.age < 35 THEN 1 END) AS REAL) * 100 / COUNT(T2.games_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.season = 'Summer' | 449 | moderate |
movie_platform | How many movies were added to the list with the most number of movies? Indicate whether the user was a paying subscriber or not when he created the list. | list with the most number of movies refers to MAX(list_movie_number); user_has_payment_method = 1 means the user was a paying subscriber when he created the list; user_has_payment_method = 0 means the user was not a paying subscriber when he created the list; | SELECT T1.list_movie_number, T2.user_has_payment_method FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.list_id = T2.list_id ORDER BY T1.list_movie_number DESC LIMIT 1 | 450 | moderate |
authors | What percentage of journals whose short name begins with ANN were published in the paper database in 1989? | short name begins with ANN refers to ShortName like 'ANN%' ; percentage refers to DIVIDE(COUNT(ShortName like 'ANN%' ), COUNT(id)) * 100%; in 1989 refers to Year = 1989 | SELECT CAST((SUM(CASE WHEN T1.ShortName LIKE 'ANN%' THEN 1 ELSE 0 END)) AS REAL) * 100 / COUNT(T1.ShortName) FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T2.Year = 1989 | 451 | moderate |
sales_in_weather | Which items from store 1 have the highest units sold during rainy day? | store 1 refers to store_nbr = 1; highest unit sold refers to Max(units); during rainy day refers to codesum like '%'||'RA'||'%'; item refers to item_nbr | SELECT T2.item_nbr FROM weather AS T1 INNER JOIN sales_in_weather AS T2 ON T1.`date` = T2.`date` INNER JOIN relation AS T3 ON T2.store_nbr = T3.store_nbr AND T1.station_nbr = T3.station_nbr WHERE T2.store_nbr = 1 AND T1.codesum LIKE '%' OR 'RA' OR '%' GROUP BY T2.item_nbr ORDER BY T2.units DESC LIMIT 1 | 452 | challenging |
student_loan | Calculate the ratio in percentage between the average number of female and male students who joined Fire Department organization. | ratio = CONCAT(MULTIPLY(DIVIDE(COUNT(enlist.name WHERE organ = 'fire_department' which is NOT in male.name), COUNT(enlist.name WHERE organ = 'fire_department),'%'))) AS FEMALE; ratio = CONCAT(MULTIPLY(DIVIDE(COUNT(enlist.name WHERE organ = 'fire_department' which is IN male.name), COUNT(enlist.name WHERE organ = 'fire_department), 100))) AS MALE; female students refers to enlist.name who are NOT in male.name; male students refers to enlist.name who are IN male.name; organization refers to organ; organ = 'fire_department'; | SELECT CAST(SUM(IIF(T2.name IS NULL, 1, 0)) AS REAL) * 100 / COUNT(T1.name), CAST(SUM(IIF(T2.name IS NOT NULL, 1, 0)) AS REAL) * 100 / COUNT(T1.name) FROM enlist AS T1 LEFT JOIN male AS T2 ON T2.name = T1.name WHERE T1.organ = 'fire_department' | 453 | challenging |
university | What is the university ID with the most students in 2011? | most students refers to MAX(num_students), in 2011 refers to year = 2011 | SELECT university_id FROM university_year WHERE year = 2011 ORDER BY num_students DESC LIMIT 1 | 454 | simple |
public_review_platform | Among the review votes of funny and cool hit uber with long review length, describe the business ID, active status, user ID and user year of joining Yelp. | review votes of funny refers to review_votes_funny = 'Uber'; cool hit uber refers to review_votes_cool = 'Uber'; user year of joining Yelp refers to user_yelping_since_year | SELECT T1.business_id, T1.active, T3.user_id, T3.user_yelping_since_year FROM Business AS T1 INNER JOIN Reviews AS T2 ON T1.business_id = T2.business_id INNER JOIN Users AS T3 ON T2.user_id = T3.user_id WHERE T2.review_votes_cool = 'Uber' AND T2.review_votes_funny = 'Uber' AND T2.review_length = 'Long' | 455 | challenging |
olympics | In the 2014 Winter game, what is the percentage of competitors who age 28 years old? | DIVIDE(COUNT(age = 28), COUNT(id)) as percentage where games_name = '2014 Winter'; | SELECT CAST(COUNT(CASE WHEN T2.age = 28 THEN 1 END) AS REAL) * 100 / COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '2014 Winter' | 456 | moderate |
world | List down the country names of countries that have a GNP lower than 1000 and have Dutch as their language. | GNP lower than 1000 refers to GNP < 1000; Dutch as their language refers to `Language` = 'Dutch'; | SELECT T2.Name FROM CountryLanguage AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T2.GNP < 1000 AND T1.IsOfficial = 'T' AND T1.Language = 'Dutch' | 457 | simple |
authors | What is the title and author ID of paper with conference ID less than 100 in year 2006? | conference ID less than 100 refers to ConferenceId < 100; in year 2006 refers to Year = 2006 | SELECT DISTINCT T1.Title, T2.AuthorId FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T1.Year = 2006 AND T1.ConferenceId < 100 | 458 | simple |
music_platform_2 | What is the content of the review under the title "really interesting!" and is created on 2018-04-24 at 12:05:16? | "really interesting" is the title of review; created on 2018-04-24 at 12:05:16 refers to created_at = '2018-04-24T12:05:16-07:00' | SELECT content FROM reviews WHERE title = 'really interesting!' AND created_at = '2018-04-24T12:05:16-07:00' | 459 | simple |
airline | Among the flights operated by American Airlines Inc. on 2018/8/1, how many of them were cancelled? | American Airlines Inc. refers to Description = 'American Airlines Inc.: AA'; on 2018/8/1 refers to FL_DATE = '2018/8/1'; cancelled refers to CANCELLED = 1; | SELECT SUM(CASE WHEN T2.CANCELLED = 1 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' | 460 | moderate |
simpson_episodes | Based on the credits, state how many roles were played in the 5th episode of simpson 20. | 5th episode refers to episode = 5 | SELECT COUNT(DISTINCT T2.role) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.episode = 5; | 461 | simple |
mondial_geo | Please list the organization names established in the countries where Dutch is spoken. | Dutch is one of language | SELECT T2.Name FROM language AS T1 INNER JOIN organization AS T2 ON T1.Country = T2.Country WHERE T1.Name = 'Dutch' | 462 | simple |
works_cycles | Where can I find the Valley Bicycle Specialists store? | Valley Bicycle Specialists is a name of store; full address = AddressLine1+AddressLine2; | SELECT T2.AddressLine1, T2.AddressLine2 FROM BusinessEntityAddress AS T1 INNER JOIN Address AS T2 ON T1.AddressID = T2.AddressID INNER JOIN Store AS T3 ON T1.BusinessEntityID = T3.BusinessEntityID WHERE T3.Name = 'Valley Bicycle Specialists' | 463 | simple |
professional_basketball | What is the birth date of the player with the most assists during the 1985 All-Star season? | most assist refers to Max(assists); in 1985 All Star season refers to season_id = 1985 | SELECT T1.birthDate FROM players AS T1 INNER JOIN player_allstar AS T2 ON T1.playerID = T2.playerID WHERE T2.season_id = 1985 ORDER BY T2.assists DESC LIMIT 1 | 464 | simple |
address | What are the precise locations of the cities with an area code of 787? | precise location refers to latitude, longitude | SELECT T2.latitude, T2.longitude FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.area_code = '787' GROUP BY T2.latitude, T2.longitude | 465 | simple |
shipping | Where does the driver of ship ID 1127 live? | live refers to address | SELECT T2.address FROM shipment AS T1 INNER JOIN driver AS T2 ON T1.driver_id = T2.driver_id WHERE T1.ship_id = '1127' | 466 | simple |
retails | The part "hot spring dodger dim light" is ordered in how many orders? | part "hot spring dodger dim light" refers to p_name = 'hot spring dodger dim light' | SELECT COUNT(T1.p_partkey) FROM part AS T1 INNER JOIN lineitem AS T2 ON T1.p_partkey = T2.l_partkey WHERE T1.p_name = 'hot spring dodger dim light' | 467 | simple |
regional_sales | At what Latitude and Longitude is the store that has used the WARE-PUJ1005 warehouse the fewest times? | WARE-PUJ1005 is the WarehouseCode; fewest times refers to Min (Count(WarehouseCode)) | SELECT T2.Latitude, T2.Longitude FROM `Sales Orders` AS T1 INNER JOIN `Store Locations` AS T2 ON T2.StoreID = T1._StoreID WHERE T1.WarehouseCode = 'WARE-PUJ1005' GROUP BY T2.StoreID ORDER BY COUNT(T1.WarehouseCode) ASC LIMIT 1 | 468 | moderate |
legislator | Which current legislator is older, Sherrod Brown or Maria Cantwell? | older refers to MAX(birthday_bio); 'Sherrod Brown' and 'Maria Cantwell' are official_full_name | SELECT official_full_name FROM current WHERE official_full_name = 'Sherrod Brown' OR official_full_name = 'Maria Cantwell' ORDER BY birthday_bio LIMIT 1 | 469 | simple |
retails | Calculate the percentage of part supply that costs more than 500. | DIVIDE(COUNT(ps_suppkey where ps_supplycost > 500)), COUNT(ps_suppkey) as percentage; | SELECT CAST(SUM(IIF(ps_supplycost > 500, 1, 0)) AS REAL) * 100 / COUNT(ps_suppkey) FROM partsupp | 470 | simple |
public_review_platform | What are the states of businesses with attribute of beer and wine located? | with attribute of beer and wine refers to attribute_value = 'beer_and_wine'; | SELECT DISTINCT T2.state FROM Business_Attributes AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.attribute_value = 'beer_and_wine' | 471 | simple |
food_inspection_2 | Among the establishments that failed the inspection in February 2010, list the names of the employees with a salary greater than 70% of the average salary of all employees. | failed the inspection refers to results = 'Fail'; in January 2010 refers to inspection_date like '2010-01%'; name of employee refers to first_name, last_name; a salary greater than 70% of the average salary refers to salary > multiply(avg(salary), 0.7) | SELECT DISTINCT T1.employee_id FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.results = 'Fail' AND strftime('%Y-%m', T2.inspection_date) = '2010-02' AND T1.salary > 0.7 * ( SELECT AVG(salary) FROM employee ) | 472 | moderate |
airline | List the air carrier's description of the flights with 0 departure delay. | 0 departure delay refers to DEP_DELAY = 0; | SELECT T1.Description FROM `Air Carriers` AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.OP_CARRIER_AIRLINE_ID WHERE T2.DEP_DELAY = 0 GROUP BY T1.Description | 473 | simple |
restaurant | What is the rating of each restaurant reviews on Atlantic Ave? | Atlantic Ave refers to street_name = 'atlantic ave'; rating refers to review | SELECT T1.review FROM generalinfo AS T1 INNER JOIN location AS T2 ON T1.id_restaurant = T2.id_restaurant WHERE T2.street_name = 'atlantic ave' | 474 | simple |
retails | Calculate the percentage of customers' accounts in debt. | DIVIDE(COUNT(c_custkey where c_acctbal < 0), COUNT(c_custkey)) as percentage; | SELECT CAST(SUM(IIF(c_acctbal < 0, 1, 0)) AS REAL) * 100 / COUNT(c_custkey) FROM customer | 475 | simple |
world | How many cities are there in the country with the surface area of 652090? | SELECT T2.Name, COUNT(T1.Name) FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T2.SurfaceArea = 652090 GROUP BY T2.Name | 476 | simple |
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world | List down the cities belongs to the country that has surface area greater than 7000000. | surface area greater than 7000000 refers to SurfaceArea > 7000000; | SELECT T2.Name, T1.Name FROM City AS T1 INNER JOIN Country AS T2 ON T1.CountryCode = T2.Code WHERE T2.SurfaceArea > 7000000 | 477 | simple |
soccer_2016 | Who was the captain-keeper of Rising Pune Supergiants? | captain-keeper refers to Role_Desc = 'CaptainKeeper'; Rising Pune Supergiants refers to Role_Desc = 'CaptainKeeper' | SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Player_Match AS T2 ON T1.Player_Id = T2.Player_Id INNER JOIN Team AS T3 ON T2.Team_Id = T3.Team_Id INNER JOIN Rolee AS T4 ON T2.Role_Id = T4.Role_Id WHERE T3.Team_Name = 'Rising Pune Supergiants' AND T4.Role_Desc = 'CaptainKeeper' GROUP BY T1.Player_Name | 478 | moderate |
world | Which country has the most crowded city in the world? | most crowded city refers to MAX(Population); | SELECT T1.Name FROM Country AS T1 INNER JOIN City AS T2 ON T1.Code = T2.CountryCode ORDER BY T2.Population DESC LIMIT 1 | 479 | simple |
works_cycles | Please list the titles of the documents that are pending approval. | documents pending approval refers to Status = 1 | SELECT Title FROM Document WHERE Status = 1 | 480 | simple |
airline | On August 2018, which day had the highest number of cancelled flights due to the most serious reasons in Dallas/Fort Worth International? | On August 2018 refers to FL_DATE like '2018/8%'; day with the highest number of cancelled flights refers to MAX(COUNT(FL_DATE WHERE CANCELLED = 1)); cancelled due to the most serious reasons refers to CANCELLATION_CODE = 'A'; in Dallas/Fort Worth International refers to Description = 'Dallas/Fort Worth, TX: Dallas/Fort Worth International'; | SELECT T2.FL_DATE FROM Airports AS T1 INNER JOIN Airlines AS T2 ON T1.Code = T2.ORIGIN WHERE T2.FL_DATE LIKE '2018/8%' AND T1.Description = 'Dallas/Fort Worth, TX: Dallas/Fort Worth International' AND T2.ORIGIN = 'DFW' AND T2.CANCELLED = 1 AND T2.CANCELLATION_CODE = 'A' GROUP BY T2.FL_DATE ORDER BY COUNT(T2.FL_DATE) DESC LIMIT 1 | 481 | moderate |
cs_semester | How many students does Ogdon Zywicki advise? | Ogdon Zywicki is a professor; | SELECT COUNT(T1.student_id) FROM RA AS T1 INNER JOIN prof AS T2 ON T1.prof_id = T2.prof_id WHERE T2.first_name = 'Ogdon' AND T2.last_name = 'Zywicki' | 482 | simple |
mondial_geo | What kind of political system is in place in the country with the highest inflation rate? | Political system refers to government form | SELECT T1.Government FROM politics AS T1 INNER JOIN economy AS T2 ON T1.Country = T2.Country ORDER BY T2.Inflation DESC LIMIT 1 | 483 | simple |
cookbook | Which recipe has the highest number of ingredients? Calculate the said recipe's total time of cooking. | the highest number of ingredients refers to MAX(ingredient_id); total time refers to recipe_id, total time of cooking refers to TOTAL(prep_min, cook_min, stnd_min) | SELECT T2.recipe_id, T1.prep_min + T1.cook_min + T1.stnd_min FROM Recipe AS T1 INNER JOIN Quantity AS T2 ON T1.recipe_id = T2.recipe_id GROUP BY T2.recipe_id ORDER BY COUNT(T2.ingredient_id) DESC LIMIT 1 | 484 | moderate |
public_review_platform | What are the most common compliments types received by user with uber number of fans? | the most common compliments types refer to MAX(COUNT(compliment_id)); user_fans = 'uber'; | SELECT DISTINCT T3.compliment_type FROM Users AS T1 INNER JOIN Users_Compliments AS T2 ON T1.user_id = T2.user_id INNER JOIN Compliments AS T3 ON T2.compliment_id = T3.compliment_id WHERE T1.user_fans = 'Uber' | 485 | simple |
sales_in_weather | Between the stores under weather station 12, what is the percentage of item 5 sold in store 10 in 2014? | weather station 12 refers to station_nbr = 12; item 5 refers to item_nbr = 5; 10 store refers to store_nbr = 10; in 2014 refers to SUBSTR(date, 1, 4) = '2014'; percentage = Divide (Sum(units where store_nbr = 10), Sum(units)) * 100 | SELECT CAST(SUM(CASE WHEN T2.store_nbr = 10 THEN units * 1 ELSE 0 END) AS REAL) * 100 / SUM(units) FROM relation AS T1 INNER JOIN sales_in_weather AS T2 ON T1.store_nbr = T2.store_nbr WHERE station_nbr = 12 AND item_nbr = 5 AND T2.`date` LIKE '%2014%' | 486 | challenging |
mental_health_survey | Give the number of users who took the "mental health survey for 2018". | mental health survey for 2018 refers to SurveyID = 2018 | SELECT COUNT(DISTINCT T1.UserID) FROM Answer AS T1 INNER JOIN Survey AS T2 ON T1.SurveyID = T2.SurveyID WHERE T2.Description = 'mental health survey for 2018' | 487 | simple |
book_publishing_company | For each publisher, state the type of titles they published order by the publisher name. | publisher name refers to pub_name | SELECT DISTINCT T2.pub_name, T1.type FROM titles AS T1 INNER JOIN publishers AS T2 ON T1.pub_id = T2.pub_id ORDER BY T2.pub_name | 488 | simple |
mental_health_survey | How many users answered "No" to the question "Would you bring up a mental health issue with a potential employer in an interview?" in 2014's survey? | 2014 refer to SurveyID; Answered No refer to AnswerText = 'No'; Question refer to questiontext
| SELECT COUNT(T2.UserID) FROM Question AS T1 INNER JOIN Answer AS T2 ON T1.questionid = T2.QuestionID WHERE T1.questiontext = 'Would you bring up a mental health issue with a potential employer in an interview?' AND T2.SurveyID = 2014 AND T2.AnswerText LIKE 'NO' | 489 | moderate |
codebase_comments | Among the repository "3", how many methods whose comments is XML format? | repository refers to RepoId; RepoId = 3; method refers to Name; method whose comment is XML format refers to CommentIsXml = 1; | SELECT COUNT(T2.SolutionId) FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T1.RepoId = 3 AND T2.CommentIsXml = 1 | 490 | simple |
soccer_2016 | Which year do the majority of the players were born? | year refers to DOB; majority of the players refers to max(count(Player_Id)) | SELECT DOB FROM Player GROUP BY DOB ORDER BY COUNT(DOB) DESC LIMIT 1 | 491 | simple |
public_review_platform | How many businesses in the city of Scottsdale open on Sunday at 12PM? | businesses that opened on Sunday refers to day_of_week = 'Sunday'; businesses that opened at 12PM refers to opening_time = '12PM' | SELECT COUNT(DISTINCT T2.business_id) FROM Business AS T1 INNER JOIN Business_hours AS T2 ON T1.business_id = T2.business_id INNER JOIN Days AS T3 ON T2.day_id = T3.day_id WHERE T1.city = 'Scottsdale' AND T3.day_of_week = 'Sunday' AND T2.opening_time = '12PM' | 492 | simple |
mondial_geo | What is the population density of Hanoi's home country? | population density = Population / Area | SELECT T1.Population / T1.Area FROM country AS T1 INNER JOIN province AS T2 ON T1.Code = T2.Country INNER JOIN city AS T3 ON T3.Province = T2.Name WHERE T3.Name = 'Hanoi' | 493 | simple |
professional_basketball | Among the coaches who won the 'NBA coach of the year' award from 1971 - 1975, how many of them were in 'POR' team? | the 'NBA coach of the year' award refers to award = 'NBA coach of the year'; from 1971 - 1975 refers to year between 1971 and 1975; 'POR' team refers to tmID = 'POR' | SELECT COUNT(T1.id) FROM awards_coaches AS T1 INNER JOIN teams AS T2 ON T1.year = T2.year WHERE T1.year BETWEEN 1971 AND 1975 AND T1.award = 'NBA Coach of the Year' AND T2.tmID = 'POR' | 494 | moderate |
superstore | How many orders of O'Sullivan Plantations 2-Door Library in Landvery Oak in central superstore were shipped through the shipping mode with the fastest delivery speed? | 'O'Sullivan Cherrywood Estates Traditional Bookcase' is the "Product Name"; shipping mode with the fastest delivery speed refers to "Ship Mode" = 'First Class' | SELECT COUNT(DISTINCT T1.`Order ID`) FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Product Name` = 'O''Sullivan Plantations 2-Door Library in Landvery Oak' AND T2.Region = 'Central' AND T1.`Ship Mode` = 'First Class' | 495 | moderate |
cars | What years did the Buick Skylark 320 get in production? | year refers to model_year; Buick Skylark 320 refers to car_name = 'buick skylark 320' | SELECT T2.model_year FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID WHERE T1.car_name = 'buick skylark 320' | 496 | simple |
works_cycles | Calculate the average of the total ordered quantity of products purchased whose shipping method was Cargo Transport 5. | shipping method was Cargo Transport 5 refers to Name = 'Cargo Transport 5'; average = DIVIDE(SUM(OrderQty where Name = 'Cargo Transport 5'), COUNT(ShipMethodID)) | SELECT CAST(SUM(IIF(T1.ShipMethodID = 5, T3.OrderQty, 0)) AS REAL) / COUNT(T3.ProductID) FROM ShipMethod AS T1 INNER JOIN PurchaseOrderHeader AS T2 ON T1.ShipMethodID = T2.ShipMethodID INNER JOIN PurchaseOrderDetail AS T3 ON T2.PurchaseOrderID = T3.PurchaseOrderID | 497 | challenging |
codebase_comments | What is the processed time to download the repository whose files are contained in the solution with the path "jeffdik_tachy\src\Tachy.sln". | SELECT DISTINCT T2.ProcessedTime FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T2.Path = 'jeffdik_tachysrcTachy.sln' | 498 | simple |
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sales | Write down all of the product ids that were placed by Meander. | SELECT DISTINCT T2.ProductID FROM Employees AS T1 INNER JOIN Sales AS T2 ON T1.EmployeeID = T2.SalesPersonID WHERE T1.FirstName = 'Meander' | 499 | simple |
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