1sf/bird-sql-train-with-schema huggingface dataset:
Database: beer_factory
Tables: customers, geolocation, location, rootbeerbrand, rootbeer, rootbeerreview, transaction
Columns (table index, column name): -1, *, 0, CustomerID, 0, First, 0, Last, 0, StreetAddress, 0, City, 0, State, 0, ZipCode, 0, Email, 0, PhoneNumber, 0, FirstPurchaseDate, 0, SubscribedToEmailList, 0, Gender, 1, LocationID, 1, Latitude, 1, Longitude, 2, LocationID, 2, LocationName, 2, StreetAddress, 2, City, 2, State, 2, ZipCode, 3, BrandID, 3, BrandName, 3, FirstBrewedYear, 3, BreweryName, 3, City, 3, State, 3, Country, 3, Description, 3, CaneSugar, 3, CornSyrup, 3, Honey, 3, ArtificialSweetener, 3, Caffeinated, 3, Alcoholic, 3, AvailableInCans, 3, AvailableInBottles, 3, AvailableInKegs, 3, Website, 3, FacebookPage, 3, Twitter, 3, WholesaleCost, 3, CurrentRetailPrice, 4, RootBeerID, 4, BrandID, 4, ContainerType, 4, LocationID, 4, PurchaseDate, 5, CustomerID, 5, BrandID, 5, StarRating, 5, ReviewDate, 5, Review, 6, TransactionID, 6, CreditCardNumber, 6, CustomerID, 6, TransactionDate, 6, CreditCardType, 6, LocationID, 6, RootBeerID, 6, PurchasePrice
Question: List the brand IDs of the beers whose star rating is more than 3.
Evidence: star rating is more than 3 refers to StarRating > 3;
SQL: SELECT BrandID FROM rootbeerreview WHERE StarRating > 3
Database: beer_factory
Tables: customers, geolocation, location, rootbeerbrand, rootbeer, rootbeerreview, transaction
Columns (table index, column name): -1, *, 0, CustomerID, 0, First, 0, Last, 0, StreetAddress, 0, City, 0, State, 0, ZipCode, 0, Email, 0, PhoneNumber, 0, FirstPurchaseDate, 0, SubscribedToEmailList, 0, Gender, 1, LocationID, 1, Latitude, 1, Longitude, 2, LocationID, 2, LocationName, 2, StreetAddress, 2, City, 2, State, 2, ZipCode, 3, BrandID, 3, BrandName, 3, FirstBrewedYear, 3, BreweryName, 3, City, 3, State, 3, Country, 3, Description, 3, CaneSugar, 3, CornSyrup, 3, Honey, 3, ArtificialSweetener, 3, Caffeinated, 3, Alcoholic, 3, AvailableInCans, 3, AvailableInBottles, 3, AvailableInKegs, 3, Website, 3, FacebookPage, 3, Twitter, 3, WholesaleCost, 3, CurrentRetailPrice, 4, RootBeerID, 4, BrandID, 4, ContainerType, 4, LocationID, 4, PurchaseDate, 5, CustomerID, 5, BrandID, 5, StarRating, 5, ReviewDate, 5, Review, 6, TransactionID, 6, CreditCardNumber, 6, CustomerID, 6, TransactionDate, 6, CreditCardType, 6, LocationID, 6, RootBeerID, 6, PurchasePrice
Question: How many brands of bottle root beer were purchased between 4/3/2015 and 10/26/2015?
Evidence: bottle root beer refers to ContainerType = 'Bottle'; purchased between 4/3/2015 and 10/26/2015 refers to PurchaseDate BETWEEN '2015-04-23' AND '2015-10-26';
SQL: SELECT COUNT(BrandID) FROM rootbeer WHERE ContainerType = 'Bottle' AND PurchaseDate BETWEEN '2015-04-03' AND '2015-10-26'
Database: beer_factory
Tables: customers, geolocation, location, rootbeerbrand, rootbeer, rootbeerreview, transaction
Columns (table index, column name): -1, *, 0, CustomerID, 0, First, 0, Last, 0, StreetAddress, 0, City, 0, State, 0, ZipCode, 0, Email, 0, PhoneNumber, 0, FirstPurchaseDate, 0, SubscribedToEmailList, 0, Gender, 1, LocationID, 1, Latitude, 1, Longitude, 2, LocationID, 2, LocationName, 2, StreetAddress, 2, City, 2, State, 2, ZipCode, 3, BrandID, 3, BrandName, 3, FirstBrewedYear, 3, BreweryName, 3, City, 3, State, 3, Country, 3, Description, 3, CaneSugar, 3, CornSyrup, 3, Honey, 3, ArtificialSweetener, 3, Caffeinated, 3, Alcoholic, 3, AvailableInCans, 3, AvailableInBottles, 3, AvailableInKegs, 3, Website, 3, FacebookPage, 3, Twitter, 3, WholesaleCost, 3, CurrentRetailPrice, 4, RootBeerID, 4, BrandID, 4, ContainerType, 4, LocationID, 4, PurchaseDate, 5, CustomerID, 5, BrandID, 5, StarRating, 5, ReviewDate, 5, Review, 6, TransactionID, 6, CreditCardNumber, 6, CustomerID, 6, TransactionDate, 6, CreditCardType, 6, LocationID, 6, RootBeerID, 6, PurchasePrice
Question: What is the full name of the customer who gave a 5-star rating and commented "The quintessential dessert root beer. No ice cream required" on his review?
Evidence: full name = First, Last; 5-star rating refers to StarRating = 5; commented "The quintessential dessert root beer. No ice cream required" refers to Review = 'The quintessential dessert root beer. No ice cream required.';
SQL: SELECT T1.First, T1.Last FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.StarRating = 5 AND T2.Review = 'The quintessential dessert root beer. No ice cream required.'
Database: beer_factory
Tables: customers, geolocation, location, rootbeerbrand, rootbeer, rootbeerreview, transaction
Columns (table index, column name): -1, *, 0, CustomerID, 0, First, 0, Last, 0, StreetAddress, 0, City, 0, State, 0, ZipCode, 0, Email, 0, PhoneNumber, 0, FirstPurchaseDate, 0, SubscribedToEmailList, 0, Gender, 1, LocationID, 1, Latitude, 1, Longitude, 2, LocationID, 2, LocationName, 2, StreetAddress, 2, City, 2, State, 2, ZipCode, 3, BrandID, 3, BrandName, 3, FirstBrewedYear, 3, BreweryName, 3, City, 3, State, 3, Country, 3, Description, 3, CaneSugar, 3, CornSyrup, 3, Honey, 3, ArtificialSweetener, 3, Caffeinated, 3, Alcoholic, 3, AvailableInCans, 3, AvailableInBottles, 3, AvailableInKegs, 3, Website, 3, FacebookPage, 3, Twitter, 3, WholesaleCost, 3, CurrentRetailPrice, 4, RootBeerID, 4, BrandID, 4, ContainerType, 4, LocationID, 4, PurchaseDate, 5, CustomerID, 5, BrandID, 5, StarRating, 5, ReviewDate, 5, Review, 6, TransactionID, 6, CreditCardNumber, 6, CustomerID, 6, TransactionDate, 6, CreditCardType, 6, LocationID, 6, RootBeerID, 6, PurchasePrice
Question: Tally the email addresses and phone numbers of customers from Sacramento who gave a star rating of more than 3 in 2014.
Evidence: email addresses refers to Email; Sacramento refers to City = 'Sacramento'; star rating of more than 3 refers to StarRating > 3; in 2014 refers to ReviewDate LIKE '2014%';
SQL: SELECT DISTINCT T1.Email, T1.PhoneNumber FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.StarRating > 3 AND T1.City = 'Sacramento' AND T2.ReviewDate BETWEEN '2014-01-01' AND '2014-12-31'
Database: beer_factory
Tables: customers, geolocation, location, rootbeerbrand, rootbeer, rootbeerreview, transaction
Columns (table index, column name): -1, *, 0, CustomerID, 0, First, 0, Last, 0, StreetAddress, 0, City, 0, State, 0, ZipCode, 0, Email, 0, PhoneNumber, 0, FirstPurchaseDate, 0, SubscribedToEmailList, 0, Gender, 1, LocationID, 1, Latitude, 1, Longitude, 2, LocationID, 2, LocationName, 2, StreetAddress, 2, City, 2, State, 2, ZipCode, 3, BrandID, 3, BrandName, 3, FirstBrewedYear, 3, BreweryName, 3, City, 3, State, 3, Country, 3, Description, 3, CaneSugar, 3, CornSyrup, 3, Honey, 3, ArtificialSweetener, 3, Caffeinated, 3, Alcoholic, 3, AvailableInCans, 3, AvailableInBottles, 3, AvailableInKegs, 3, Website, 3, FacebookPage, 3, Twitter, 3, WholesaleCost, 3, CurrentRetailPrice, 4, RootBeerID, 4, BrandID, 4, ContainerType, 4, LocationID, 4, PurchaseDate, 5, CustomerID, 5, BrandID, 5, StarRating, 5, ReviewDate, 5, Review, 6, TransactionID, 6, CreditCardNumber, 6, CustomerID, 6, TransactionDate, 6, CreditCardType, 6, LocationID, 6, RootBeerID, 6, PurchasePrice
Question: How many female mailing list subscribers from Sacramento gave a 4-star rating between 1/3/2016 and 10/26/2016?
Evidence: female refers to Gender = 'F'; mailing list subscribers refers to SubscribedToEmailList = 'TRUE'; Elk Grove refers to City = 'Sacramento'; 4-star rating refers to StarRating = 4; between 1/3/2016 and 10/26/2016 refers to ReviewDate BETWEEN '2016-01-03' AND '2016-10-26';
SQL: SELECT COUNT(T1.CustomerID) FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.StarRating = 4 AND T1.City = 'Sacramento' AND T1.Gender = 'F' AND T1.SubscribedToEmailList = 'TRUE' AND T2.ReviewDate BETWEEN '2013-01-03' AND '2013-10-26'
Database: beer_factory
Tables: customers, geolocation, location, rootbeerbrand, rootbeer, rootbeerreview, transaction
Columns (table index, column name): -1, *, 0, CustomerID, 0, First, 0, Last, 0, StreetAddress, 0, City, 0, State, 0, ZipCode, 0, Email, 0, PhoneNumber, 0, FirstPurchaseDate, 0, SubscribedToEmailList, 0, Gender, 1, LocationID, 1, Latitude, 1, Longitude, 2, LocationID, 2, LocationName, 2, StreetAddress, 2, City, 2, State, 2, ZipCode, 3, BrandID, 3, BrandName, 3, FirstBrewedYear, 3, BreweryName, 3, City, 3, State, 3, Country, 3, Description, 3, CaneSugar, 3, CornSyrup, 3, Honey, 3, ArtificialSweetener, 3, Caffeinated, 3, Alcoholic, 3, AvailableInCans, 3, AvailableInBottles, 3, AvailableInKegs, 3, Website, 3, FacebookPage, 3, Twitter, 3, WholesaleCost, 3, CurrentRetailPrice, 4, RootBeerID, 4, BrandID, 4, ContainerType, 4, LocationID, 4, PurchaseDate, 5, CustomerID, 5, BrandID, 5, StarRating, 5, ReviewDate, 5, Review, 6, TransactionID, 6, CreditCardNumber, 6, CustomerID, 6, TransactionDate, 6, CreditCardType, 6, LocationID, 6, RootBeerID, 6, PurchasePrice
Question: Give me the brewery and brand names of canned root beer that were purchased before 6/6/2015.
Evidence: canned root beer refers to ContainerType = 'Can'; purchased before 6/6/2015 refers to PurchaseDate < '2015-06-06';
SQL: SELECT DISTINCT T2.BreweryName, T2.BrandName FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID WHERE T1.PurchaseDate < '2015-06-06' AND T1.ContainerType = 'Can'
Database: beer_factory
Tables: customers, geolocation, location, rootbeerbrand, rootbeer, rootbeerreview, transaction
Columns (table index, column name): -1, *, 0, CustomerID, 0, First, 0, Last, 0, StreetAddress, 0, City, 0, State, 0, ZipCode, 0, Email, 0, PhoneNumber, 0, FirstPurchaseDate, 0, SubscribedToEmailList, 0, Gender, 1, LocationID, 1, Latitude, 1, Longitude, 2, LocationID, 2, LocationName, 2, StreetAddress, 2, City, 2, State, 2, ZipCode, 3, BrandID, 3, BrandName, 3, FirstBrewedYear, 3, BreweryName, 3, City, 3, State, 3, Country, 3, Description, 3, CaneSugar, 3, CornSyrup, 3, Honey, 3, ArtificialSweetener, 3, Caffeinated, 3, Alcoholic, 3, AvailableInCans, 3, AvailableInBottles, 3, AvailableInKegs, 3, Website, 3, FacebookPage, 3, Twitter, 3, WholesaleCost, 3, CurrentRetailPrice, 4, RootBeerID, 4, BrandID, 4, ContainerType, 4, LocationID, 4, PurchaseDate, 5, CustomerID, 5, BrandID, 5, StarRating, 5, ReviewDate, 5, Review, 6, TransactionID, 6, CreditCardNumber, 6, CustomerID, 6, TransactionDate, 6, CreditCardType, 6, LocationID, 6, RootBeerID, 6, PurchasePrice
Question: List the brand names of bottled root beer whose first brewing year is no later than 1930.
Evidence: bottled root beer refers to ContainerType = 'Bottle'; first brewing year is no later than 1930 refers to FirstBrewedYear < 1930;
SQL: SELECT T2.BrandName FROM rootbeer AS T1 INNER JOIN rootbeerbrand AS T2 ON T1.BrandID = T2.BrandID WHERE T2.FirstBrewedYear < '1930-01-01' AND T1.ContainerType = 'Bottle' ORDER BY T2.FirstBrewedYear LIMIT 1
Database: beer_factory
Tables: customers, geolocation, location, rootbeerbrand, rootbeer, rootbeerreview, transaction
Columns (table index, column name): -1, *, 0, CustomerID, 0, First, 0, Last, 0, StreetAddress, 0, City, 0, State, 0, ZipCode, 0, Email, 0, PhoneNumber, 0, FirstPurchaseDate, 0, SubscribedToEmailList, 0, Gender, 1, LocationID, 1, Latitude, 1, Longitude, 2, LocationID, 2, LocationName, 2, StreetAddress, 2, City, 2, State, 2, ZipCode, 3, BrandID, 3, BrandName, 3, FirstBrewedYear, 3, BreweryName, 3, City, 3, State, 3, Country, 3, Description, 3, CaneSugar, 3, CornSyrup, 3, Honey, 3, ArtificialSweetener, 3, Caffeinated, 3, Alcoholic, 3, AvailableInCans, 3, AvailableInBottles, 3, AvailableInKegs, 3, Website, 3, FacebookPage, 3, Twitter, 3, WholesaleCost, 3, CurrentRetailPrice, 4, RootBeerID, 4, BrandID, 4, ContainerType, 4, LocationID, 4, PurchaseDate, 5, CustomerID, 5, BrandID, 5, StarRating, 5, ReviewDate, 5, Review, 6, TransactionID, 6, CreditCardNumber, 6, CustomerID, 6, TransactionDate, 6, CreditCardType, 6, LocationID, 6, RootBeerID, 6, PurchasePrice
Question: How many times did Anna Himes use her Mastercard when paying between 12/25/2014 and 5/20/2016 ?
Evidence: Mastercard refers to CreditCardType = 'MasterCard'; between 12/25/2014 and 5/20/2016 refers to TransactionDate BETWEEN '2014-12-25' AND '2016-05-20';
SQL: SELECT COUNT(T2.CustomerID) FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.First = 'Anna' AND T1.Last = 'Himes' AND T2.CreditCardType = 'MasterCard' AND T2.TransactionDate BETWEEN '2014-12-25' AND '2016-05-20'
Database: beer_factory
Tables: customers, geolocation, location, rootbeerbrand, rootbeer, rootbeerreview, transaction
Columns (table index, column name): -1, *, 0, CustomerID, 0, First, 0, Last, 0, StreetAddress, 0, City, 0, State, 0, ZipCode, 0, Email, 0, PhoneNumber, 0, FirstPurchaseDate, 0, SubscribedToEmailList, 0, Gender, 1, LocationID, 1, Latitude, 1, Longitude, 2, LocationID, 2, LocationName, 2, StreetAddress, 2, City, 2, State, 2, ZipCode, 3, BrandID, 3, BrandName, 3, FirstBrewedYear, 3, BreweryName, 3, City, 3, State, 3, Country, 3, Description, 3, CaneSugar, 3, CornSyrup, 3, Honey, 3, ArtificialSweetener, 3, Caffeinated, 3, Alcoholic, 3, AvailableInCans, 3, AvailableInBottles, 3, AvailableInKegs, 3, Website, 3, FacebookPage, 3, Twitter, 3, WholesaleCost, 3, CurrentRetailPrice, 4, RootBeerID, 4, BrandID, 4, ContainerType, 4, LocationID, 4, PurchaseDate, 5, CustomerID, 5, BrandID, 5, StarRating, 5, ReviewDate, 5, Review, 6, TransactionID, 6, CreditCardNumber, 6, CustomerID, 6, TransactionDate, 6, CreditCardType, 6, LocationID, 6, RootBeerID, 6, PurchasePrice
Question: What is the average star rating given by female customers to brand ID 10018 from 1/25/2015 to 3/10/2015?
Evidence: average star rating = AVG(StarRating); female customers refers to Gender = 'F; from 1/25/2015 to 3/10/2015 refers to ReviewDate BETWEEN '2015-01-25' AND '2015-03-10';
SQL: SELECT AVG(T2.StarRating) FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.BrandID = 10018 AND T1.Gender = 'F' AND T2.ReviewDate BETWEEN '2013-01-25' AND '2015-03-10'
Database: beer_factory
Tables: customers, geolocation, location, rootbeerbrand, rootbeer, rootbeerreview, transaction
Columns (table index, column name): -1, *, 0, CustomerID, 0, First, 0, Last, 0, StreetAddress, 0, City, 0, State, 0, ZipCode, 0, Email, 0, PhoneNumber, 0, FirstPurchaseDate, 0, SubscribedToEmailList, 0, Gender, 1, LocationID, 1, Latitude, 1, Longitude, 2, LocationID, 2, LocationName, 2, StreetAddress, 2, City, 2, State, 2, ZipCode, 3, BrandID, 3, BrandName, 3, FirstBrewedYear, 3, BreweryName, 3, City, 3, State, 3, Country, 3, Description, 3, CaneSugar, 3, CornSyrup, 3, Honey, 3, ArtificialSweetener, 3, Caffeinated, 3, Alcoholic, 3, AvailableInCans, 3, AvailableInBottles, 3, AvailableInKegs, 3, Website, 3, FacebookPage, 3, Twitter, 3, WholesaleCost, 3, CurrentRetailPrice, 4, RootBeerID, 4, BrandID, 4, ContainerType, 4, LocationID, 4, PurchaseDate, 5, CustomerID, 5, BrandID, 5, StarRating, 5, ReviewDate, 5, Review, 6, TransactionID, 6, CreditCardNumber, 6, CustomerID, 6, TransactionDate, 6, CreditCardType, 6, LocationID, 6, RootBeerID, 6, PurchasePrice
Question: What is the brand name of the root beer that gained a 1-star rating from customer ID 331115 while saying, "Yuk, more like licorice soda"?
Evidence: 1-star rating refers to StarRating = 1; saying, "Yuk, more like licorice soda" refers to Review = 'Yuk, more like licorice soda.';
SQL: SELECT T1.BrandName FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T2.CustomerID = 331115 AND T2.Review = 'Yuk, more like licorice soda.' AND T2.StarRating = 1
Database: beer_factory
Tables: customers, geolocation, location, rootbeerbrand, rootbeer, rootbeerreview, transaction
Columns (table index, column name): -1, *, 0, CustomerID, 0, First, 0, Last, 0, StreetAddress, 0, City, 0, State, 0, ZipCode, 0, Email, 0, PhoneNumber, 0, FirstPurchaseDate, 0, SubscribedToEmailList, 0, Gender, 1, LocationID, 1, Latitude, 1, Longitude, 2, LocationID, 2, LocationName, 2, StreetAddress, 2, City, 2, State, 2, ZipCode, 3, BrandID, 3, BrandName, 3, FirstBrewedYear, 3, BreweryName, 3, City, 3, State, 3, Country, 3, Description, 3, CaneSugar, 3, CornSyrup, 3, Honey, 3, ArtificialSweetener, 3, Caffeinated, 3, Alcoholic, 3, AvailableInCans, 3, AvailableInBottles, 3, AvailableInKegs, 3, Website, 3, FacebookPage, 3, Twitter, 3, WholesaleCost, 3, CurrentRetailPrice, 4, RootBeerID, 4, BrandID, 4, ContainerType, 4, LocationID, 4, PurchaseDate, 5, CustomerID, 5, BrandID, 5, StarRating, 5, ReviewDate, 5, Review, 6, TransactionID, 6, CreditCardNumber, 6, CustomerID, 6, TransactionDate, 6, CreditCardType, 6, LocationID, 6, RootBeerID, 6, PurchasePrice
Question: Calculate the total purchases made by customers using their Visa credit cards in the Sac State American River Courtyard between 6/3/2014 and 11/27/2015.
Evidence: total purchases = SUM(PurchasePrice); Visa credit card refers to CreditCardType = 'Visa'; Sac State American River Courtyard refers to LocationName = 'Sac State American River Courtyard'; between 6/3/2014 and 11/27/2015 refers to TransactionDate BETWEEN '2014-06-03' AND '2015-11-27';
SQL: SELECT SUM(T1.PurchasePrice) FROM `transaction` AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.LocationName = 'Sac State American River Courtyard' AND T1.CreditCardType = 'Visa' AND T1.TransactionDate BETWEEN '2014-06-03' AND '2015-11-27'
Database: beer_factory
Tables: customers, geolocation, location, rootbeerbrand, rootbeer, rootbeerreview, transaction
Columns (table index, column name): -1, *, 0, CustomerID, 0, First, 0, Last, 0, StreetAddress, 0, City, 0, State, 0, ZipCode, 0, Email, 0, PhoneNumber, 0, FirstPurchaseDate, 0, SubscribedToEmailList, 0, Gender, 1, LocationID, 1, Latitude, 1, Longitude, 2, LocationID, 2, LocationName, 2, StreetAddress, 2, City, 2, State, 2, ZipCode, 3, BrandID, 3, BrandName, 3, FirstBrewedYear, 3, BreweryName, 3, City, 3, State, 3, Country, 3, Description, 3, CaneSugar, 3, CornSyrup, 3, Honey, 3, ArtificialSweetener, 3, Caffeinated, 3, Alcoholic, 3, AvailableInCans, 3, AvailableInBottles, 3, AvailableInKegs, 3, Website, 3, FacebookPage, 3, Twitter, 3, WholesaleCost, 3, CurrentRetailPrice, 4, RootBeerID, 4, BrandID, 4, ContainerType, 4, LocationID, 4, PurchaseDate, 5, CustomerID, 5, BrandID, 5, StarRating, 5, ReviewDate, 5, Review, 6, TransactionID, 6, CreditCardNumber, 6, CustomerID, 6, TransactionDate, 6, CreditCardType, 6, LocationID, 6, RootBeerID, 6, PurchasePrice
Question: How many transactions were made in Sac State Union using the American Express credit card in 2014?
Evidence: Sac State Union refers to LocationName = 'Sac State Union'; American Express credit card refers to CreditCardType = 'American Express'; in 2014 refers to TransactionDate LIKE '2014%';
SQL: SELECT COUNT(T1.TransactionID) FROM `transaction` AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID WHERE T2.LocationName = 'Sac State Union' AND T1.CreditCardType = 'American Express' AND T1.TransactionDate BETWEEN '2014-01-01' AND '2014-12-31'
Database: beer_factory
Tables: customers, geolocation, location, rootbeerbrand, rootbeer, rootbeerreview, transaction
Columns (table index, column name): -1, *, 0, CustomerID, 0, First, 0, Last, 0, StreetAddress, 0, City, 0, State, 0, ZipCode, 0, Email, 0, PhoneNumber, 0, FirstPurchaseDate, 0, SubscribedToEmailList, 0, Gender, 1, LocationID, 1, Latitude, 1, Longitude, 2, LocationID, 2, LocationName, 2, StreetAddress, 2, City, 2, State, 2, ZipCode, 3, BrandID, 3, BrandName, 3, FirstBrewedYear, 3, BreweryName, 3, City, 3, State, 3, Country, 3, Description, 3, CaneSugar, 3, CornSyrup, 3, Honey, 3, ArtificialSweetener, 3, Caffeinated, 3, Alcoholic, 3, AvailableInCans, 3, AvailableInBottles, 3, AvailableInKegs, 3, Website, 3, FacebookPage, 3, Twitter, 3, WholesaleCost, 3, CurrentRetailPrice, 4, RootBeerID, 4, BrandID, 4, ContainerType, 4, LocationID, 4, PurchaseDate, 5, CustomerID, 5, BrandID, 5, StarRating, 5, ReviewDate, 5, Review, 6, TransactionID, 6, CreditCardNumber, 6, CustomerID, 6, TransactionDate, 6, CreditCardType, 6, LocationID, 6, RootBeerID, 6, PurchasePrice
Question: What is the precise coordinate of Sac State Union?
Evidence: precise coordinate = Latitude, Longitude; Sac State Union refers to LocationName = 'Sac State Union';
SQL: SELECT T2.Latitude, T2.Longitude FROM location AS T1 INNER JOIN geolocation AS T2 ON T1.LocationID = T2.LocationID WHERE T1.LocationName = 'Sac State Union'
Database: beer_factory
Tables: customers, geolocation, location, rootbeerbrand, rootbeer, rootbeerreview, transaction
Columns (table index, column name): -1, *, 0, CustomerID, 0, First, 0, Last, 0, StreetAddress, 0, City, 0, State, 0, ZipCode, 0, Email, 0, PhoneNumber, 0, FirstPurchaseDate, 0, SubscribedToEmailList, 0, Gender, 1, LocationID, 1, Latitude, 1, Longitude, 2, LocationID, 2, LocationName, 2, StreetAddress, 2, City, 2, State, 2, ZipCode, 3, BrandID, 3, BrandName, 3, FirstBrewedYear, 3, BreweryName, 3, City, 3, State, 3, Country, 3, Description, 3, CaneSugar, 3, CornSyrup, 3, Honey, 3, ArtificialSweetener, 3, Caffeinated, 3, Alcoholic, 3, AvailableInCans, 3, AvailableInBottles, 3, AvailableInKegs, 3, Website, 3, FacebookPage, 3, Twitter, 3, WholesaleCost, 3, CurrentRetailPrice, 4, RootBeerID, 4, BrandID, 4, ContainerType, 4, LocationID, 4, PurchaseDate, 5, CustomerID, 5, BrandID, 5, StarRating, 5, ReviewDate, 5, Review, 6, TransactionID, 6, CreditCardNumber, 6, CustomerID, 6, TransactionDate, 6, CreditCardType, 6, LocationID, 6, RootBeerID, 6, PurchasePrice
Question: What did the customer say in his or her review of Bulldog root beer on 7/26/2013?
Evidence: Bulldog refers to BrandName = 'Bulldog'; on 7/26/2013 refers to ReviewDate = '2013-07-26';
SQL: SELECT T2.Review FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T1.BrandName = 'Bulldog' AND T2.ReviewDate = '2013-07-26'
Database: beer_factory
Tables: customers, geolocation, location, rootbeerbrand, rootbeer, rootbeerreview, transaction
Columns (table index, column name): -1, *, 0, CustomerID, 0, First, 0, Last, 0, StreetAddress, 0, City, 0, State, 0, ZipCode, 0, Email, 0, PhoneNumber, 0, FirstPurchaseDate, 0, SubscribedToEmailList, 0, Gender, 1, LocationID, 1, Latitude, 1, Longitude, 2, LocationID, 2, LocationName, 2, StreetAddress, 2, City, 2, State, 2, ZipCode, 3, BrandID, 3, BrandName, 3, FirstBrewedYear, 3, BreweryName, 3, City, 3, State, 3, Country, 3, Description, 3, CaneSugar, 3, CornSyrup, 3, Honey, 3, ArtificialSweetener, 3, Caffeinated, 3, Alcoholic, 3, AvailableInCans, 3, AvailableInBottles, 3, AvailableInKegs, 3, Website, 3, FacebookPage, 3, Twitter, 3, WholesaleCost, 3, CurrentRetailPrice, 4, RootBeerID, 4, BrandID, 4, ContainerType, 4, LocationID, 4, PurchaseDate, 5, CustomerID, 5, BrandID, 5, StarRating, 5, ReviewDate, 5, Review, 6, TransactionID, 6, CreditCardNumber, 6, CustomerID, 6, TransactionDate, 6, CreditCardType, 6, LocationID, 6, RootBeerID, 6, PurchasePrice
Question: List down the brand names of root beer that gained a 5-star rating from a customer's review in 2013. Calculate the unit profit available to wholesalers for each brand.
Evidence: 5-star rating refers to StarRating = 5; in 2013 refers to ReviewDate LIKE '2013%'; unit profit available to wholesalers = SUBTRACT(CurrentRetailPrice, WholesaleCost);
SQL: SELECT T1.BrandName, T1.CurrentRetailPrice - T1.WholesaleCost AS result FROM rootbeerbrand AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID WHERE T2.StarRating = 5 AND T2.ReviewDate BETWEEN '2013-01-01' AND '2013-12-31'