RLVR with Noisy Data
Collection
18 items • Updated
db_id stringclasses 68
values | question stringlengths 27 325 | evidence stringlengths 0 580 | SQL stringlengths 42 475 | question_id int64 3 9.39k |
|---|---|---|---|---|
movie_3 | Which film titles have the most expensive rental rate? | the most expensive rental rate refers to max(rental_rate) | SELECT title FROM film WHERE rental_rate = ( SELECT MAX(rental_rate) FROM film ) | 9,341 |
superstore | How many furniture products were ordered at central superstore? | furniture products refers to Category = 'Furniture' | SELECT COUNT(*) FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.Category = 'Furniture' | 2,441 |
retail_complains | What was the review context from Jacksonville on 2017/7/22? | Jacksonville refers to city = 'Jacksonville'; on 2017/7/22 refers to Date = '2017-07-22'; | SELECT T1.Reviews FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Jacksonville' AND T1.Date = '2017-07-22' | 265 |
image_and_language | What colour is the van that can be spotted in image no. 1? | colour refers to ATT_CLASS; van refers to OBJ_CLASS = 'van'; image no. 1 refers to IMG_ID = 1 | SELECT T4.ATT_CLASS FROM IMG_OBJ AS T1 INNER JOIN OBJ_CLASSES AS T2 ON T1.OBJ_CLASS_ID = T2.OBJ_CLASS_ID INNER JOIN IMG_OBJ_ATT AS T3 ON T1.IMG_ID = T3.IMG_ID INNER JOIN ATT_CLASSES AS T4 ON T3.ATT_CLASS_ID = T4.ATT_CLASS_ID WHERE T2.OBJ_CLASS = 'van' AND T1.IMG_ID = 1 GROUP BY T4.ATT_CLASS | 7,534 |
simpson_episodes | Please list the name of crew that were born before 1970. | born before 1970 refers to birthdate < '1970-01-01' | SELECT name FROM Person WHERE SUBSTR(birthdate, 1, 4) < '1970'; | 4,250 |
beer_factory | What is the percentage of 5 star ratings River City brand root beer get? | percentage = MULTIPLY(DIVIDE(SUM(BrandID WHERE StarRating = 5), COUNT(BrandID) WHERE BrandName = 'River City'), 1.0); 5 star ratings refers to StarRating = 5; River City refers to BrandName = 'River City'; | SELECT CAST(COUNT(CASE WHEN T2.StarRating = 5 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.StarRating) FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T1.BrandName = 'River City' | 5,264 |
cars | What is the fastest car made by Japan? | the fastest refers to max(horsepower); made by Japan refers to country = 'Japan'; name of the car refers to car_name | SELECT T1.car_name FROM data AS T1 INNER JOIN production AS T2 ON T1.ID = T2.ID INNER JOIN country AS T3 ON T3.origin = T2.country WHERE T3.country = 'Japan' ORDER BY T1.horsepower DESC LIMIT 1 | 3,094 |
authors | What is the title and journal homepage of the latest published paper? | latest published paper refers to Max(Year) | SELECT T1.Title, T2.HomePage FROM Paper AS T1 INNER JOIN Journal AS T2 ON T1.JournalId = T2.Id ORDER BY T1.Year DESC LIMIT 1 | 3,529 |
movie | How much longer in percentage is the screen time of the most important character in Batman than the least important one? | most important character refers to max(screentime); least important character refers to min(screentime); movie Batman refers to title = 'Batman'; percentage = divide(subtract(max(screentime) , min(screentime)) , min(screentime)) * 100% | SELECT (MAX(CAST(SUBSTR(T2.screentime, 3, 2) AS REAL)) - MIN(CAST(SUBSTR(T2.screentime, 3, 2) AS REAL))) * 100 / MIN(CAST(SUBSTR(T2.screentime, 3, 2) AS REAL)) FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID WHERE T1.Title = 'Batman' | 743 |
superstore | How much is the total quantity of items from the East region shipped on 3/25/2015? Name the products. | shipped on 3/25/2015 refers to "Ship Date" = Date('2015-03-25'); | SELECT SUM(T1.Quantity), T2.`Product Name` FROM east_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T1.`Ship Date` = '2015-03-25' AND T2.Region = 'East' | 2,375 |
retail_complains | What is the average age of Norwalk clients? | average age = AVG(age); Norwalk refers to city = 'Norwalk'; | SELECT CAST(SUM(T1.age) AS REAL) / COUNT(T1.age) AS average FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Norwalk' | 315 |
app_store | What is the lowest sentiment polarity score of the Basketball Stars app for people who dislikes the app pretty much and how many downloads does it have? | lowest sentiment polarity score refers to MIN(Sentiment_Polarity); user dislike the app pretty much refers to Sentiment_Polarity<-0.5; number of downloads it has refers to installs; | SELECT MIN(T2.Sentiment_Polarity), T1.Installs FROM playstore AS T1 INNER JOIN user_reviews AS T2 ON T1.App = T2.App WHERE T1.App = 'Basketball Stars' | 2,517 |
talkingdata | What is the brand of the device used by the most users in the M23-26 user group? | brand of the device refers to phone_brand; M23-26 user group refers to `group` = 'M23-26'; | SELECT T.phone_brand FROM ( SELECT T2.phone_brand, COUNT(T1.device_id) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.`group` = 'M23-26' GROUP BY T2.phone_brand ) AS T ORDER BY T.num DESC LIMIT 1 | 1,145 |
mondial_geo | What sea does the Baltic Sea converge with, and how deep is the Baltic Sea? | Coverage refers to mergesWith | SELECT T2.Sea2, T1.Depth FROM sea AS T1 INNER JOIN mergesWith AS T2 ON T1.Name = T2.Sea1 WHERE T1.Name = 'Baltic Sea' | 8,454 |
address | What is the name of the state with the most counties? | the most counties refer to MAX(COUNT(county)); | SELECT T1.name FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state GROUP BY T2.state ORDER BY COUNT(T2.county) DESC LIMIT 1 | 5,186 |
cs_semester | What is the difficulty of the course in which a student with level of intellengence of 5 got an A grade? | difficulty of the course refers to diff; | SELECT T3.diff 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 = 'A' AND T1.intelligence = 5 | 934 |
authors | Write down the conference full name of "ICWE" and it's homepage address. | "ICWE" is the ShortName of conference | SELECT FullName, Homepage FROM Conference WHERE ShortName = 'ICWE' | 3,541 |
shipping | What is the model year of the truck used in shipment id 1003? | shipment id 1003 refers to ship_id = 1003 | SELECT T1.model_year FROM truck AS T1 INNER JOIN shipment AS T2 ON T1.truck_id = T2.truck_id WHERE T2.ship_id = '1003' | 5,633 |
works_cycles | Please provide contact details of all Marketing Managers. State their name and phone number. | Marketing Manager is a job title | SELECT T1.FirstName, T1.LastName, T2.PhoneNumber FROM Person AS T1 INNER JOIN PersonPhone AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID INNER JOIN Employee AS T3 ON T1.BusinessEntityID = T3.BusinessEntityID WHERE T3.JobTitle = 'Marketing Manager' | 7,325 |
address | Which state has greater than 50 CBSA officers of metro type? | greater than 50 CBSA officers of metro type refers to COUNT(CBSA_type = 'Metro') > 50; | SELECT T2.state FROM CBSA AS T1 INNER JOIN zip_data AS T2 ON T1.CBSA = T2.CBSA WHERE T1.CBSA_type = 'Metro' GROUP BY T2.state HAVING COUNT(T1.CBSA_type) > 50 | 5,198 |
world_development_indicators | What's the lastest household survey in Angola and when did it take place? | in Angola refers to ShortName = 'Angola'; when refers to PppSurveyYear | SELECT LatestHouseholdSurvey, PppSurveyYear FROM Country WHERE ShortName = 'Angola' | 2,231 |
image_and_language | What is the caption for the prediction class id 12? | caption for the prediction class id 12 refers to PRED_CLASS where PRED_CLASS_ID = 12; | SELECT PRED_CLASS FROM PRED_CLASSES WHERE PRED_CLASS_ID = 12 | 7,545 |
retail_complains | How many stars did "Eagle Capital" received from Little Rock on 2013/4/4? | Eagle Capital refers to Product = 'Eagle Capital'; Little Rock is a city; on 2013/4/4 refers to Date = '2013-04-04'; | SELECT COUNT(T1.Stars) FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Product = 'Eagle Capital' AND T2.city = 'Little Rock' AND T1.Date = '2013-04-04' | 267 |
world_development_indicators | Please write down the footnote descriptions of Albania in 1981. | Albania is the name of country where Country = 'Albania' | SELECT DISTINCT T1.Description FROM FootNotes AS T1 INNER JOIN Country AS T2 ON T1.Countrycode = T2.CountryCode WHERE T1.Year = 'YR1981' AND T2.ShortName = 'Albania' | 2,114 |
movies_4 | Which production company produced the movie that made the most money at the box office? | Which production company refers to company_name; most money at the box office refers to max(revenue) | SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id GROUP BY T1.company_id ORDER BY SUM(T3.revenue) DESC LIMIT 1 | 447 |
retail_world | Name products and their quantity ordered by the company 'GROSELLA-Restaurante' in the sales order that was processed by Nancy Davolio. | name products refers to ProductName; 'GROSELLA-Restaurante' refers to CompanyName; 'Nancy Davolio' is the full name of an employee; full name refers to FirstName, LastName; | SELECT T4.ProductName, T3.Quantity FROM Employees AS T1 INNER JOIN Orders AS T2 ON T1.EmployeeID = T2.EmployeeID INNER JOIN `Order Details` AS T3 ON T2.OrderID = T3.OrderID INNER JOIN Products AS T4 ON T3.ProductID = T4.ProductID INNER JOIN Customers AS T5 ON T2.CustomerID = T5.CustomerID WHERE T1.FirstName = 'Nancy' A... | 6,576 |
bike_share_1 | What is the name of the station that is less used by customers who borrow bikes from? Indicate when was the station installed. | less used station where bikes are borrowed from refers to start_station_name which has the least number of customers; subscription_type = 'Customer'; when installed refers to installation_date; | SELECT T1.start_station_name, T2.installation_date FROM trip AS T1 INNER JOIN station AS T2 ON T2.name = T1.start_station_name WHERE T1.subscription_type = 'Customer' GROUP BY T1.start_station_name ORDER BY COUNT(T1.subscription_type) LIMIT 1 | 9,016 |
retail_world | How many territories are there in the Eastern Region? | Eastern Region refers to RegionDescription = 'Eastern'; | SELECT COUNT(T1.TerritoryID) FROM Territories AS T1 INNER JOIN Region AS T2 ON T1.RegionID = T2.RegionID WHERE T2.RegionDescription = 'Eastern' | 6,310 |
mondial_geo | In which city is the sea whose depth is 4232 meters less than that of the Bay of Bengal? | SELECT T2.City FROM sea AS T1 INNER JOIN located AS T2 ON T1.Name = T2.Sea INNER JOIN city AS T3 ON T3.Name = T2.City WHERE ( SELECT Depth FROM sea WHERE Name LIKE '%Bengal%' ) - T1.Depth = 4235 | 8,417 | |
authors | What is the average number of papers published in the journal "Molecular Brain" every year from 2008 to 2011? | "Molecular Brain" is the FullName of journal; year from 2008 to 2011 refers to Year BETWEEN 2008 AND 2011; average = Divide (Count(Id),4) | SELECT CAST(COUNT(T2.Id) AS REAL) / COUNT(DISTINCT T2.Year) FROM Journal AS T1 INNER JOIN Paper AS T2 ON T1.Id = T2.JournalId WHERE T1.FullName = 'Molecular Brain' AND T2.Year BETWEEN 2008 AND 2011 | 3,522 |
retail_world | Which of the American customers have experienced a delay in the shipment and how long was the longest? | "American" refers to Country = 'USA'; longest delay in shipment refers to Max(Subtract(RequiredDate, ShippedDate)); customer refers to CustomerID | SELECT T1.CompanyName, TIMESTAMPDIFF(DAY, T2.ShippedDate, T2.RequiredDate) FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.Country = 'USA' AND TIMESTAMPDIFF(DAY, T2.ShippedDate, T2.RequiredDate) < 0 | 6,492 |
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 | 8,064 |
movielens | Please list down ID of movies acted by top 5 actors based on actor rating. | SELECT T2.movieid FROM actors AS T1 INNER JOIN movies2actors AS T2 ON T1.actorid = T2.actorid GROUP BY T2.actorid ORDER BY AVG(T1.a_quality) DESC LIMIT 5 | 2,272 | |
olympics | How many 20 years old athletes were there in the 1984 Summer Olympic Games? | 20 years old athletes refer to person_id where age = 20; 1984 Summer Olympic Games refer to games_name = '1984 Summer'; | SELECT COUNT(T2.person_id) FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id WHERE T1.games_name = '1984 Summer' AND T2.age = 20 | 5,009 |
movies_4 | List 10 crews alongside their jobs who worked on the movie 'Mad Max: Fury Road.' | crews refers to person_name; movie 'Mad Max: Fury Road' refers to title = 'Mad Max: Fury Road' | SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title = 'Mad Max: Fury Road' LIMIT 10 | 483 |
movie | Please list the names of the actors who played a role in the movie Batman. | movie Batman refers to title = 'Batman' | SELECT T3.Name FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T1.Title = 'Batman' | 733 |
olympics | Which region is the majority of the athletes from? | region refers to region_name; the majority of the athletes from refer to MAX(COUNT(region_name)); | SELECT T2.region_name FROM person_region AS T1 INNER JOIN noc_region AS T2 ON T1.region_id = T2.id GROUP BY T2.region_name ORDER BY COUNT(T1.person_id) DESC LIMIT 1 | 5,048 |
student_loan | Mention the status of payment of student 299. | status of payment is mentioned in no_payment_due; bool = 'pos' means the student has payment due; bool = 'neg' means the student has no payment due; student299 is a name of student; | SELECT bool FROM no_payment_due WHERE name = 'student299' | 4,535 |
synthea | How many unmarried women were checked for normal pregnancy? | unmarried refers to marital = 'S'; women refers to gender = 'F'; normal pregnancy refers to conditions.DESCRIPTION = 'normal pregnancy'; | SELECT COUNT(DISTINCT T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Normal pregnancy' AND T2.gender = 'F' AND T2.marital = 'S' | 1,483 |
movie_platform | Name the movie with the most ratings. | movie with the most rating refers to MAX(SUM(rating_score)); | SELECT movie_title FROM movies GROUP BY movie_title ORDER BY COUNT(movie_title) DESC LIMIT 1 | 3 |
codebase_comments | What is the github address of the repository that contains files used by solution ID12? | github address refers to Url; | SELECT T1.Url FROM Repo AS T1 INNER JOIN Solution AS T2 ON T1.Id = T2.RepoId WHERE T2.Id = 12 | 592 |
chicago_crime | Which community area has the highest number of crimes reported on the street? | reported on the street refers to location_description = 'STREET'; community area with highest number of crime refers to Max(Count(location_description)); community area refers to community_area_no | SELECT T1.community_area_no FROM Community_Area AS T1 INNER JOIN Crime AS T2 ON T2.community_area_no = T1.community_area_no WHERE T2.location_description = 'STREET' GROUP BY T1.community_area_no ORDER BY COUNT(T2.location_description) DESC LIMIT 1 | 8,682 |
coinmarketcap | Name the coin and date of transactions with the greatest decline in percent change in 1 hour. | the greatest decline in percent change in 1 hour refers to max(percent_change_1h) | SELECT T1.name, T2.date FROM coins AS T1 INNER JOIN historical AS T2 ON T1.id = T2.coin_id WHERE T2.percent_change_1h = ( SELECT MIN(percent_change_1h) FROM historical ) | 6,260 |
image_and_language | List all the ids of the images that have a self-relation relationship. | ids of the images refers to IMG_ID; self-relations refers to OBJ1_SAMPLE_ID = OBJ2_SAMPLE_ID | SELECT DISTINCT IMG_ID FROM IMG_REL WHERE OBJ1_SAMPLE_ID = OBJ2_SAMPLE_ID | 7,508 |
retails | What is the name of the product with the highest retail price? | name of the product refers to p_name; the highest retail price refers to p_retailprice | SELECT p_name FROM part WHERE p_retailprice = ( SELECT MAX(p_retailprice) FROM part ) | 6,862 |
movie | In romantic movies, how many of them starred by John Travolta? | romantic movies refers to Genre = 'Romance'; starred by John Travolta refers to Name = 'John Travolta' | SELECT COUNT(*) FROM movie AS T1 INNER JOIN characters AS T2 ON T1.MovieID = T2.MovieID INNER JOIN actor AS T3 ON T3.ActorID = T2.ActorID WHERE T1.Genre = 'Romance' AND T3.Name = 'John Travolta' | 763 |
sales_in_weather | What was the temperature range of station no.1 on 2012/1/1? | on 2012/1/1 refers to date = '2012-01-01'; temperature range refers to Subtract (tmax, tmin); station no.1 refers to station_nbr = 1 | SELECT tmax - tmin AS temrange FROM weather WHERE station_nbr = 1 AND `date` = '2012-01-01' | 8,140 |
talkingdata | Please list the categories of the app users who are not active when event no.2 happened. | not active refers to is_active = 0; event no. refers to event_id; event_id = 2; | SELECT DISTINCT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id INNER JOIN app_events AS T3 ON T2.app_id = T3.app_id WHERE T3.event_id = 2 AND T3.is_active = 0 | 1,087 |
chicago_crime | What is the district address associated with the case JB107731? | case JB107731 refers to case_number = 'JB107731' | SELECT T1.address FROM District AS T1 INNER JOIN Crime AS T2 ON T2.district_no = T1.district_no WHERE T2.case_number = 'JB107731' | 8,670 |
public_review_platform | Write down the any five of ID and name of category that starts with alphabet "P". | category that starts with alphabet "P" refers to category_name like 'P%'; | SELECT category_id, category_name FROM Categories WHERE category_name LIKE 'P%' LIMIT 5 | 4,075 |
codebase_comments | What is the linearized sequenced of API calls of the method whose solution path is "mauriciodeamorim_tdd.encontro2\Tdd.Encontro2.sln"? | linearized sequenced of API calls refers to ApiCalls; | SELECT T2.ApiCalls FROM Solution AS T1 INNER JOIN Method AS T2 ON T1.Id = T2.SolutionId WHERE T1.Path = 'mauriciodeamorim_tdd.encontro2Tdd.Encontro2.sln' | 582 |
computer_student | Which professor teaches the highest number of professional or master/graduate courses? | professor refers to taughtBy.p_id; highest number of professional or master/graduate courses refers to max(count(taughtBy.course_id)) where courseLevel = 'Level_500' | SELECT T2.p_id FROM course AS T1 INNER JOIN taughtBy AS T2 ON T1.course_id = T2.course_id WHERE T1.courseLevel = 'Level_500' GROUP BY T2.p_id ORDER BY COUNT(T2.course_id) DESC LIMIT 1 | 1,020 |
car_retails | How many Sales Manager who are working in Sydney? List out their email. | Sales Manager is a job title; Sydney is a city; | SELECT T1.email FROM employees AS T1 INNER JOIN offices AS T2 ON T1.officeCode = T2.officeCode WHERE T1.jobTitle LIKE '%Sales Manager%' AND T2.city = 'Sydney' | 1,575 |
synthea | What is the most common condition among the female Americans? | the most common condition refers to MAX(COUNT(DESCRIPTION)); among the female Americans refer to PATIENT where gender = 'F' and ethnicity = 'american'; | SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.gender = 'F' AND T1.ethnicity = 'american' GROUP BY T2.DESCRIPTION ORDER BY COUNT(T2.DESCRIPTION) DESC LIMIT 1 | 1,393 |
movies_4 | What is the average number of crews for a movie? | average number of crews = divide(count(person_id), COUNT(movie_id)) | SELECT CAST(SUM(CD) AS REAL) / COUNT(movie_id) FROM ( SELECT movie_id, COUNT(person_id) AS CD FROM movie_crew GROUP BY movie_id ) | 518 |
retail_world | Among the seafoods, how many of them have an order quantity of more than 50? | "Seafood" is the CategoryName; order quantity of more than 50 refers to Quantity > 50 | SELECT COUNT(T1.ProductID) FROM Products AS T1 INNER JOIN `Order Details` AS T2 ON T1.ProductID = T2.ProductID INNER JOIN Categories AS T3 ON T1.CategoryID = T3.CategoryID WHERE T3.CategoryName = 'Seafood' AND T2.Quantity > 50 | 6,482 |
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 | 5,100 |
movielens | Among the users who gave a rating of 5, how many of them are male? | Male users mean that u_gender = 'M' | SELECT COUNT(T1.userid) FROM u2base AS T1 INNER JOIN users AS T2 ON T1.userid = T2.userid WHERE T1.rating = 5 AND T2.u_gender = 'M' | 2,248 |
sales_in_weather | What was the total unit sold for item 10 when the average temperature was below the median temperature? | item 10 refers to item_nbr = 10; average temperature below median temperature refers to tavg < avg(tavg); total units refers to Sum(units) | SELECT SUM(T5.units) FROM weather AS T4 INNER JOIN sales_in_weather AS T5 ON T4.`date` = T5.`date` INNER JOIN relation AS T6 ON T5.store_nbr = T6.store_nbr WHERE T5.item_nbr = 10 AND T4.tavg < ( SELECT AVG(T1.tavg) FROM weather AS T1 INNER JOIN sales_in_weather AS T2 ON T1.`date` = T2.`date` INNER JOIN relation AS T3 O... | 8,215 |
music_platform_2 | What is the longest review? | review refers to content; longest review refers to Max(content) | SELECT title FROM reviews ORDER BY LENGTH(content) DESC LIMIT 1 | 7,965 |
retail_complains | Write down the date received of complaints sent via Fax. | sent via Fax refers to Submitted via = 'Fax' | SELECT T1.`Date received` FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.`Submitted via` = 'Fax' | 360 |
menu | Among the menus that include baked apples with cream, who is the sponsor of the menu with the highest price? | baked apples with cream is a name of dish; highest price refers to MAX(price); | SELECT T4.sponsor FROM MenuPage AS T1 INNER JOIN MenuItem AS T2 ON T1.id = T2.menu_page_id INNER JOIN Dish AS T3 ON T2.dish_id = T3.id INNER JOIN Menu AS T4 ON T4.id = T1.menu_id WHERE T3.name = 'Baked apples with cream' AND T3.id = 107 ORDER BY T2.price DESC LIMIT 1 | 5,556 |
movie | Who was the actor that played in the movie "Batman" with the longest screentime? | movie "Batman" refers to Title = 'Batman'; longest screentime refers to max(screentime) | SELECT T2.Name FROM characters AS T1 INNER JOIN actor AS T2 ON T1.ActorID = T2.ActorID INNER JOIN movie AS T3 ON T3.MovieID = T1.MovieID WHERE T3.Title = 'Batman' ORDER BY T1.screentime DESC LIMIT 1 | 747 |
talkingdata | Please list the app IDs of all the users in the Securities category. | SELECT T2.app_id FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'Securities' | 1,142 | |
movie_3 | How many film titles were released in 2006? | released in 2006 refers to release_year = 2006 | SELECT COUNT(film_id) FROM film WHERE release_year = 2006 | 9,338 |
cars | What is the name of the most expensive car? | name of the car refers to car_name; the most expensive refers to max(price) | SELECT T1.car_name FROM data AS T1 INNER JOIN price AS T2 ON T1.ID = T2.ID ORDER BY T2.price DESC LIMIT 1 | 3,091 |
movie_3 | Provide the list of the longest movies. Arrange these titles in alphabetical order. | the longest refers to max(length) | SELECT title FROM film WHERE length = ( SELECT MAX(length) FROM film ) | 9,384 |
car_retails | How many distinct orders were there in 2003 when the quantity ordered was less than 30? | year(orderDate) = '2003'; quantityOrdered < 30; | SELECT COUNT(DISTINCT T1.orderNumber) FROM orderdetails AS T1 INNER JOIN orders AS T2 ON T1.orderNumber = T2.orderNumber WHERE T1.quantityOrdered < 30 AND STRFTIME('%Y', T2.orderDate) = '2003' | 1,558 |
trains | How many trains are running west? | west is a direction | SELECT COUNT(id) FROM trains WHERE direction = 'west' | 711 |
superstore | Among the orders in Central superstore, which art product were ordered the most? | art product refers to Sub-Category = 'Art'; the most refers to max(order_number) | SELECT T2.`Product Name` FROM central_superstore AS T1 INNER JOIN product AS T2 ON T1.`Product ID` = T2.`Product ID` WHERE T2.`Sub-Category` = 'Art' GROUP BY T2.`Product Name` ORDER BY COUNT(T2.`Product ID`) DESC LIMIT 1 | 2,417 |
professional_basketball | Which teams have winning rate less than 50%? | team with winning rate less than 50% refers to Divide (won, Sum(won, lost)) < 0.5 | SELECT name FROM teams WHERE CAST(won AS REAL) * 100 / (won + lost) < 50 | 2,835 |
food_inspection_2 | What is the average number of inspections did risk level 3 taverns have? | risk level 3 refers to risk_level = '3'; tavern refers to facility_type = 'TAVERN'; average number = divide(count(inspection_id), sum(license_no)) where risk_level = '3' and facility_type = 'TAVERN' | SELECT CAST(COUNT(T2.inspection_id) AS REAL) / COUNT(DISTINCT T1.license_no) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.risk_level = 3 AND T1.facility_type = 'TAVERN' | 6,137 |
university | In 2014, what is the name of the university which was considered a leader in the publications rank? | In 2014 refers to year = 2014; leader refers to MAX(score); in the publications rank refers to criteria_name = 'Publications Rank'; name of university refers to university_name; | SELECT T3.university_name 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 T1.criteria_name = 'Publications Rank' AND T2.year = 2014 AND T1.id = 17 ORDER BY T2.score DESC LIMIT 1 | 7,995 |
human_resources | By what percentage is the average salary of Trainees higher than the minimum salary of this postion? | AVG(salary); Trainee is a position title; minimum salary refers to minsalary; calculation = DIVIDE(SUBTRACT(AVG(salary), minsalary), minsalary) * 100 | SELECT 100 * (AVG(CAST(REPLACE(SUBSTR(T1.salary, 4), ',', '') AS REAL)) - CAST(REPLACE(SUBSTR(T2.minsalary, 4), ',', '') AS REAL)) / CAST(REPLACE(SUBSTR(T2.minsalary, 4), ',', '') AS REAL) AS per FROM employee AS T1 INNER JOIN position AS T2 ON T1.positionID = T2.positionID WHERE T2.positiontitle = 'Trainee' | 8,949 |
language_corpus | Name the longest Catalan language Wikipedia page title and state the number of different words in this page. | longest title refers to max(length(title)) | SELECT title, words FROM pages WHERE title = ( SELECT MAX(LENGTH(title)) FROM pages ) | 5,684 |
public_review_platform | Find out which business ID are opened all the time. | opened all the time refers to Business_Hours where day_id BETWEEN 1 and 7 and opening_time = closing_time; | SELECT DISTINCT business_id FROM Business_Hours WHERE day_id >= 1 AND day_id < 8 AND opening_time = closing_time | 4,039 |
retail_world | What is the shipping cost for order number 10692 from the company Alfreds Futterkiste? | Alfreds Futterkiste is the name of the company; order number 10692 refers to OrderID = 10692; | SELECT T2.Freight FROM Customers AS T1 INNER JOIN Orders AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.OrderID = 10692 AND T1.CompanyName = 'Alfreds Futterkiste' | 6,426 |
talkingdata | How many device users are male? | male refers to gender = 'M'; | SELECT COUNT(device_id) FROM gender_age WHERE gender = 'M' | 1,078 |
beer_factory | List the brands of root beer produced by Dr Pepper Snapple Group and calculate their percentage of purchases between 2014 to 2016. | brand of root beer refers to BrandName; produced by Dr Pepper Snapple Group refers to BreweryName = 'Dr Pepper Snapple Group'; percentage of purchases = MULTIPLY(DIVIDE(SUM(BrandID WHERE PurchaseDate > = '2014-01-01' AND PurchaseDate < = '2016-12-31'), COUNT(BrandID) WHERE BreweryName = 'Dr Pepper Snapple Group'), 1.0)... | SELECT T1.BrandName , CAST(SUM(CASE WHEN T2.PurchaseDate >= '2014-01-01' AND T2.PurchaseDate <= '2016-12-31' THEN 1 ELSE 0 END) AS REAL) / COUNT(T2.BrandID) AS purchase FROM rootbeerbrand AS T1 INNER JOIN rootbeer AS T2 ON T1.BrandID = T2.BrandID WHERE T1.BreweryName = 'Dr Pepper Snapple Group' GROUP BY T2.BrandID | 5,284 |
video_games | How many platforms are available for the game Pro Evolution Soccer 2016? | game Pro Evolution Soccer 2016 refers to game_name = 'Pro Evolution Soccer 2016' | SELECT COUNT(T2.id) FROM game_platform AS T1 INNER JOIN platform AS T2 ON T1.platform_id = T2.id INNER JOIN game_publisher AS T3 ON T1.game_publisher_id = T3.id INNER JOIN game AS T4 ON T3.game_id = T4.id WHERE T4.game_name = 'Pro Evolution Soccer 2016' | 3,332 |
works_cycles | What's Lynn N Tsoflias's job title? | SELECT T2.JobTitle FROM Person AS T1 INNER JOIN Employee AS T2 ON T1.BusinessEntityID = T2.BusinessEntityID WHERE T1.FirstName = 'Lynn' AND T1.MiddleName = 'N' AND T1.LastName = 'Tsoflias' | 7,174 | |
soccer_2016 | Who is the youngest player to have won the Purple Cap? | Who refers to Player_Name; youngest player to have won the Purple Cap refers to min(subtract(Season_Year, DOB)) | SELECT T1.Player_Name FROM Player AS T1 INNER JOIN Season AS T2 ON T1.Player_Id = T2.Purple_Cap ORDER BY T2.Season_Year - SUBSTR(T1.DOB, 1, 4) LIMIT 1 | 1,963 |
works_cycles | What is the company's profit on the product that was rated second-highest by David? | profit on net on a single product = SUBTRACT(ListPrice, StandardCost); second highest rating refers to Rating = 4; David is the ReviewerName; | SELECT T2.ListPrice - T2.StandardCost FROM ProductReview AS T1 INNER JOIN Product AS T2 ON T1.ProductID = T2.ProductID WHERE T1.ReviewerName = 'David' ORDER BY T1.Rating DESC LIMIT 1 | 7,394 |
movie_3 | Name the most recent movie rented by Dorothy Taylor. | movie name refers to title; the most recent refers to max(rental_date) | SELECT T4.title FROM customer AS T1 INNER JOIN rental AS T2 ON T1.customer_id = T2.customer_id INNER JOIN inventory AS T3 ON T2.inventory_id = T3.inventory_id INNER JOIN film AS T4 ON T3.film_id = T4.film_id WHERE T1.first_name = 'DOROTHY' AND T1.last_name = 'TAYLOR' ORDER BY T2.rental_date DESC LIMIT 1 | 9,372 |
superstore | Who is the customer with an order shipped on March 5, 2013, in the eastern region? | Who is the customer refers to Customer Name; shipped on March 5, 2013 refers to "Ship Date" = '2013-03-05'; eastern region refers to Region = 'East' | SELECT DISTINCT T2.`Customer Name` FROM east_superstore AS T1 INNER JOIN people AS T2 ON T1.`Customer ID` = T2.`Customer ID` WHERE T1.`Ship Date` = '2013-03-05' | 2,453 |
address | Provide the population of Arecibo in 2020. | population of Arecibo in 2020 refers to SUM(population_2020) where county = 'ARECIBO'; | SELECT SUM(T2.population_2020) FROM country AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T1.county = 'ARECIBO' | 5,199 |
donor | Name the project titles created by teacher who acquired a doctor degree. | teacher who acquired a doctor degree refers to teacher_prefix = 'Dr.' | SELECT T1.title FROM essays AS T1 INNER JOIN donations AS T2 ON T1.projectid = T2.projectid WHERE T2.donation_message LIKE 'Donation on behalf of Matt Carpenter because I''m a strong believer in education.' | 3,154 |
sales | Among customers with the last name of Valdez, who purchased the highest quantity? | highest quantity refers to MAX(Quantity); | SELECT T1.FirstName FROM Customers AS T1 INNER JOIN Sales AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.LastName = 'Valdez' ORDER BY T2.Quantity DESC LIMIT 1 | 5,384 |
world_development_indicators | Which low income country has a series code of DT.DOD.DECT.CD? Name the country code of it. | IncomeGroup = 'Low income'; | SELECT T1.CountryCode FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.IncomeGroup = 'Low income' AND T2.Seriescode = 'DT.DOD.DECT.CD' | 2,167 |
works_cycles | Which product ID do not have any work order ID? | Do not have any work order ID means WorkOrderID is null | SELECT ProductID FROM Product WHERE ProductID NOT IN ( SELECT T1.ProductID FROM Product AS T1 INNER JOIN WorkOrder AS T2 ON T1.ProductID = T2.ProductID ) | 7,183 |
shooting | What is the proportion of white males and females in the police force? | white refers to race = 'W'; male refers to gender = 'M'; female refers to gender = 'F'; proportion of white males = divide(count(officers where race = 'W' and gender = 'M'), count(officers)) * 100%; proportion of white females = divide(count(officers where race = 'W' and gender = 'F'), count(officers)) * 100% | SELECT CAST(SUM(gender = 'M') AS REAL) / SUM(gender = 'F') FROM officers WHERE race = 'W' | 2,483 |
regional_sales | Calculate the average net profit of phones which have sales channel of distributor. | net profit can be computed as SUBTRACT(Unit Price, Unit Cost); AVG(net profit) where Product Name = 'Phones' and Sales Channel = 'Distributor'; | SELECT SUM(REPLACE(T1.`Unit Price`, ',', '') - REPLACE(T1.`Unit Cost`, ',', '')) / COUNT(T1.OrderNumber) FROM `Sales Orders` AS T1 INNER JOIN Products AS T2 ON T2.ProductID = T1._ProductID WHERE T2.`Product Name` = 'Phones' AND T1.`Sales Channel` = 'Distributor' | 2,614 |
movielens | List the genres of the movies which actor id 851 is the star. | SELECT T2.genre FROM movies2actors AS T1 INNER JOIN movies2directors AS T2 ON T1.movieid = T2.movieid INNER JOIN actors AS T3 ON T1.actorid = T3.actorid WHERE T3.actorid = 851 | 2,249 | |
public_review_platform | How many open businesses in the City of Phoenix have users left a long review? | open businesses refers to active = 'true'; long review refers to review_length = 'Long' | SELECT COUNT(DISTINCT T2.business_id) FROM Reviews AS T1 INNER JOIN Business AS T2 ON T1.business_id = T2.business_id WHERE T1.review_length = 'Long' AND T2.active = 'true' AND T2.city = 'Phoenix' | 4,112 |
computer_student | How many courses are there for basic or medium undergraduate courses? | basic or medium undergraduate courses refers to courseLevel = 'Level_300'; courses refers to course.course_id | SELECT COUNT(course_id) FROM course WHERE courseLevel = 'Level_300' | 970 |
professional_basketball | For the players who played the most PBLA games, who was graduated from Central Missouri State college? | the most PBLA games refers to max(games_played); Central Missouri State college refers to college = 'Central Missouri State' | SELECT T1.firstName, T1.middleName, T1.lastName FROM players AS T1 INNER JOIN players_teams AS T2 ON T1.playerID = T2.playerID WHERE T2.lgID = 'PBLA' AND T2.GP = 10 AND T1.college = 'Central Missouri State' GROUP BY T1.firstName, T1.middleName, T1.lastName ORDER BY COUNT(T2.id) DESC LIMIT 1 | 2,945 |
movie_platform | How many paying subscribers gave a rating to the movie "One Flew Over the Cuckoo's Nest"? | paying subscribers refer to user_has_payment_method = 1; movie "One Flew Over the Cuckoo's Nest" refers to movie_id = 'One Flew Over the Cuckoo''s Nest' | SELECT COUNT(T1.user_id) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id INNER JOIN ratings_users AS T3 ON T1.user_id = T3.user_id WHERE T2.movie_title = 'One Flew Over the Cuckoo''s Nest' AND T3.user_has_payment_method = 1 | 131 |
car_retails | How many 2001 Ferrari Enzo were ordered? | 2001 Ferrari Enzo refers to productName; | SELECT SUM(t1.orderNumber) FROM orderdetails AS t1 INNER JOIN products AS t2 ON t1.productCode = t2.productCode WHERE t2.productName = '2001 Ferrari Enzo' | 1,665 |
world_development_indicators | List out the country code and country name of the rich countries using Euro as their currency unit | Non-OECD and OECD countries can be regarded as rich countries for those that are part of the High Income Group; | SELECT DISTINCT T1.CountryCode, T2.CountryName FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.CurrencyUnit = 'Euro' AND (T1.IncomeGroup = 'High income: OECD' OR T1.IncomeGroup = 'High income: nonOECD') | 2,157 |
student_loan | List out all bankrupt students that are able to make payment before due? | make payment before due refers to bool = 'neg'; | SELECT T1.name FROM filed_for_bankrupcy AS T1 INNER JOIN no_payment_due AS T2 ON T1.name = T2.name WHERE T2.bool = 'neg' | 4,418 |
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