db_id stringclasses 66
values | question stringlengths 24 325 | evidence stringlengths 1 673 ⌀ | gold_query stringlengths 23 804 | db_schema stringclasses 66
values |
|---|---|---|---|---|
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 | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
law_episode | Was Anthony Azzara's role in episode tt0629204 displayed in the credits at the end of the episode? | episode tt0629204 refers to episode_id = 'tt0629204'; credited refers to credited = 'true'; not credited refers to credited = '' | SELECT T1.credited FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T2.name = 'Anthony Azzara' AND T1.episode_id = 'tt0629204' | CREATE TABLE Award
(
result TEXT, -- Example Values: `Winner`, `Nominee` | Value Statics: Total count 22 - Distinct count 2 - Null count 0
person_id TEXT, -- Example Values: `nm0937725`, `nm0792309`, `nm0049569`, `nm0371065`, `nm0288886` | Value Statics: Total count 22 - Distinct count 13 - Null count 0
organi... |
language_corpus | Calculate the average percentage of word appearance in the page that have revision page id smaller than 106680. | revision page id smaller than 106680 refers to revision < 106680; word appearance refers to occurrences; DIVIDE(SUM(occurrences where revision < 106680), COUNT(occurrences)) as percentage; | SELECT CAST(SUM(T1.words) AS REAL) * 100 / SUM(T2.occurrences) FROM pages AS T1 INNER JOIN pages_words AS T2 ON T1.pid = T2.pid WHERE T1.revision < 106680 | CREATE TABLE words
(
occurrences INTEGER DEFAULT 0, --
word TEXT UNIQUE, --
wid INTEGER PRIMARY KEY AUTOINCREMENT,
);
CREATE TABLE langs
(
lid INTEGER PRIMARY KEY AUTOINCREMENT,
pages INTEGER DEFAULT 0, -- Example Values: `1129144` | Value Statics: Total count 1 - Distinct count 1 - Null count 0
lang TEXT... |
beer_factory | How many brands of root beers are available in cans and contain corn syrup and artificial sweeteners? | available in cans refers to AvailableInCans = 'TRUE'; contain corn syrup refers to CornSyrup = 'TRUE'; contain artificial sweeteners refers to ArtificialSweetener = 'TRUE'; | SELECT COUNT(BrandID) FROM rootbeerbrand WHERE CornSyrup = 'TRUE' AND ArtificialSweetener = 'TRUE' AND AvailableInCans = 'TRUE' | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
language_corpus | What is the occurrence of the word "nombre"? | This is not; | SELECT occurrences FROM words WHERE word = 'nombre' | CREATE TABLE words
(
occurrences INTEGER DEFAULT 0, --
word TEXT UNIQUE, --
wid INTEGER PRIMARY KEY AUTOINCREMENT,
);
CREATE TABLE langs
(
lid INTEGER PRIMARY KEY AUTOINCREMENT,
pages INTEGER DEFAULT 0, -- Example Values: `1129144` | Value Statics: Total count 1 - Distinct count 1 - Null count 0
lang TEXT... |
beer_factory | Among the root beer purchased in 2014, what percentage were sold in cans? | in 2014 refers to PurchaseDate > = '2014-01-01' AND PurchaseDate < = '2014-12-31'; percentage = MULTIPLY(DIVIDE(SUM(ContainerType = 'Can'), COUNT(RootBeerID) WHERE PurchaseDate > = '2014-01-01' AND PurchaseDate < = '2014-12-31'), 1.0); in cans refers to ContainerType = 'Can'; | SELECT CAST(COUNT(CASE WHEN ContainerType = 'Can' THEN RootBeerID ELSE NULL END) AS REAL) * 100 / COUNT(RootBeerID) FROM rootbeer WHERE PurchaseDate LIKE '2014%' | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
language_corpus | How many pages of Wikipedia are there in total on the Catalan language? | Catalan language refers to lang = 'ca'; | SELECT pages FROM langs WHERE lang = 'ca' | CREATE TABLE words
(
occurrences INTEGER DEFAULT 0, --
word TEXT UNIQUE, --
wid INTEGER PRIMARY KEY AUTOINCREMENT,
);
CREATE TABLE langs
(
lid INTEGER PRIMARY KEY AUTOINCREMENT,
pages INTEGER DEFAULT 0, -- Example Values: `1129144` | Value Statics: Total count 1 - Distinct count 1 - Null count 0
lang TEXT... |
law_episode | Which episode got the most 1 star votes? Give its title. | the most refers to max(votes); 1 star refers to stars = '1' | SELECT T2.title FROM Vote AS T1 INNER JOIN Episode AS T2 ON T2.episode_id = T1.episode_id WHERE T1.stars = 1 ORDER BY T1.votes DESC LIMIT 1 | CREATE TABLE Award
(
result TEXT, -- Example Values: `Winner`, `Nominee` | Value Statics: Total count 22 - Distinct count 2 - Null count 0
person_id TEXT, -- Example Values: `nm0937725`, `nm0792309`, `nm0049569`, `nm0371065`, `nm0288886` | Value Statics: Total count 22 - Distinct count 13 - Null count 0
organi... |
beer_factory | Among the transactions, what percentage is done by using a visa card? | visa card refers to CreditCardType = 'Visa'; percentage = MULTIPLY(DIVIDE(SUM(CreditCardType = 'Visa'), COUNT(TransactionID)), 1.0); | SELECT CAST(COUNT(CASE WHEN CreditCardType = 'Visa' THEN TransactionID ELSE NULL END) AS REAL) * 100 / COUNT(TransactionID) FROM `transaction` | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
law_episode | Describe what happened in the episode of award no.296. | description of what happened refers to summary; award no.296 refers to award_id = '296' | SELECT T1.summary FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE T2.award_id = 296 | CREATE TABLE Award
(
result TEXT, -- Example Values: `Winner`, `Nominee` | Value Statics: Total count 22 - Distinct count 2 - Null count 0
person_id TEXT, -- Example Values: `nm0937725`, `nm0792309`, `nm0049569`, `nm0371065`, `nm0288886` | Value Statics: Total count 22 - Distinct count 13 - Null count 0
organi... |
language_corpus | Which of these pages have more words, the page titled "Afluent" or "Asclepi"? | COUNT(words where title = 'Afluent')> COUNT(words where title = 'Asclepi') | SELECT CASE WHEN ( SELECT words FROM pages WHERE title = 'Asclepi' ) > ( SELECT words FROM pages WHERE title = 'Afluent' ) THEN 'Asclepi' ELSE 'Afluent' END | CREATE TABLE words
(
occurrences INTEGER DEFAULT 0, --
word TEXT UNIQUE, --
wid INTEGER PRIMARY KEY AUTOINCREMENT,
);
CREATE TABLE langs
(
lid INTEGER PRIMARY KEY AUTOINCREMENT,
pages INTEGER DEFAULT 0, -- Example Values: `1129144` | Value Statics: Total count 1 - Distinct count 1 - Null count 0
lang TEXT... |
address | How many postal points are there under the congress representative from the House of Representatives in Mississippi? | postal points refer to zip_code; Mississippi is the name of the state, in which name = 'Mississippi'; | SELECT COUNT(T2.zip_code) FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district WHERE T1.state = 'Mississippi' | CREATE TABLE state
(
name TEXT, --
abbreviation TEXT primary key,
);
CREATE TABLE country
(
zip_code INTEGER, --
foreign key (state) references state(abbreviation),
county TEXT, --
primary key (zip_code, county),
state TEXT, --
foreign key (zip_code) references zip_data(zip_code),
);
CREATE TABLE area... |
talkingdata | How many apps are labeled 7? | labeled 7 refers to label_id = 7; | SELECT COUNT(app_id) FROM app_labels WHERE label_id = 7 | CREATE TABLE app_events
(
`is_active` INTEGER NOT NULL, -- Example Values: `0`, `1` | Value Statics: Total count 100000 - Distinct count 2 - Null count 0
`is_installed` INTEGER NOT NULL, -- Example Values: `1` | Value Statics: Total count 100000 - Distinct count 1 - Null count 0
`event_id` INTEGER NOT NULL, --... |
beer_factory | On average how many caffeinated root beers are sold a day? | average = DIVIDE(COUNT(RootBeerID WHERE Caffeinated = 'TRUE'), COUNT(PurchaseDate)); caffeinated refers to Caffeinated = 'TRUE'; | SELECT CAST(COUNT(T2.RootBeerID) AS REAL) / COUNT(DISTINCT T2.PurchaseDate) FROM rootbeerbrand AS T1 INNER JOIN rootbeer AS T2 ON T1.BrandID = T2.BrandID INNER JOIN `transaction` AS T3 ON T2.RootBeerID = T3.RootBeerID WHERE T1.Caffeinated = 'TRUE' | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
language_corpus | What is the total word of title "Adam" and "Acampada"? | total word refers to sum(words); title "Adam" and "Acampada" refers to title IN('Adam','Acampada') | SELECT SUM(words) FROM pages WHERE title IN ('Adam', 'Acampada') | CREATE TABLE words
(
occurrences INTEGER DEFAULT 0, --
word TEXT UNIQUE, --
wid INTEGER PRIMARY KEY AUTOINCREMENT,
);
CREATE TABLE langs
(
lid INTEGER PRIMARY KEY AUTOINCREMENT,
pages INTEGER DEFAULT 0, -- Example Values: `1129144` | Value Statics: Total count 1 - Distinct count 1 - Null count 0
lang TEXT... |
beer_factory | Find the brand Id of the root beer which has the most number of customers who gave 1-star ratings. | most number of customers who gave 1-star ratings refers to MAX(COUNT(StarRating = 1)); 1-star ratings refers to StarRating = 1; | SELECT BrandID FROM rootbeerreview WHERE StarRating = 1 GROUP BY BrandID ORDER BY COUNT(BrandID) DESC LIMIT 1 | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
law_episode | How many awards has Rene Balcer been nominated for? | null | SELECT COUNT(T2.award_id) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T1.name = 'Rene Balcer' | CREATE TABLE Award
(
result TEXT, -- Example Values: `Winner`, `Nominee` | Value Statics: Total count 22 - Distinct count 2 - Null count 0
person_id TEXT, -- Example Values: `nm0937725`, `nm0792309`, `nm0049569`, `nm0371065`, `nm0288886` | Value Statics: Total count 22 - Distinct count 13 - Null count 0
organi... |
language_corpus | What is the locale of the language of the page titled "Asclepi"? | page titled "Asclepi" refers to title = 'Asclepi' ; | SELECT T2.locale FROM pages AS T1 INNER JOIN langs AS T2 ON T1.lid = T2.lid WHERE T1.title = 'Asclepi' | CREATE TABLE words
(
occurrences INTEGER DEFAULT 0, --
word TEXT UNIQUE, --
wid INTEGER PRIMARY KEY AUTOINCREMENT,
);
CREATE TABLE langs
(
lid INTEGER PRIMARY KEY AUTOINCREMENT,
pages INTEGER DEFAULT 0, -- Example Values: `1129144` | Value Statics: Total count 1 - Distinct count 1 - Null count 0
lang TEXT... |
beer_factory | What is the average cost of root beers purchased for more than 2 dollars and sold in bottles? | average cost = DIVIDE(SUM(PurchasePrice > 2), COUNT(RootBeerID) WHERE PurchasePrice > 2); more than 2 dollars refers to PurchasePrice > 2; in bottles refers to ContainerType = 'Bottle'; | SELECT AVG(T2.PurchasePrice) FROM rootbeer AS T1 INNER JOIN `transaction` AS T2 ON T1.RootBeerID = T2.RootBeerID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID WHERE T1.ContainerType = 'Bottle' AND T2.PurchasePrice > 2 | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
language_corpus | How many words are there on the page titled "Asclepi"? | page titled "Asclepi" refers to title = 'Asclepi' ; | SELECT words FROM pages WHERE title = 'Asclepi' | CREATE TABLE words
(
occurrences INTEGER DEFAULT 0, --
word TEXT UNIQUE, --
wid INTEGER PRIMARY KEY AUTOINCREMENT,
);
CREATE TABLE langs
(
lid INTEGER PRIMARY KEY AUTOINCREMENT,
pages INTEGER DEFAULT 0, -- Example Values: `1129144` | Value Statics: Total count 1 - Distinct count 1 - Null count 0
lang TEXT... |
law_episode | For season 9, episode 17 of the show Law and Order, how many roles have been included in the credit? | Law and Order refers to series = 'Law and Order'; included in the credit refers to credited = 'true' | SELECT COUNT(T2.role) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.series = 'Law and Order' AND T1.season = 9 AND T1.episode = 17 AND T2.credited = 'true' | CREATE TABLE Award
(
result TEXT, -- Example Values: `Winner`, `Nominee` | Value Statics: Total count 22 - Distinct count 2 - Null count 0
person_id TEXT, -- Example Values: `nm0937725`, `nm0792309`, `nm0049569`, `nm0371065`, `nm0288886` | Value Statics: Total count 22 - Distinct count 13 - Null count 0
organi... |
language_corpus | How many words are there on the page that the word "grec" has occurred for 52 times? | the word "grec" refers to word = 'grec'; occurred for 52 times refers to occurrences = 52 | SELECT SUM(T3.words) FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid INNER JOIN pages AS T3 ON T2.pid = T3.pid WHERE T1.word = 'grec' AND T2.occurrences = 52 | CREATE TABLE words
(
occurrences INTEGER DEFAULT 0, --
word TEXT UNIQUE, --
wid INTEGER PRIMARY KEY AUTOINCREMENT,
);
CREATE TABLE langs
(
lid INTEGER PRIMARY KEY AUTOINCREMENT,
pages INTEGER DEFAULT 0, -- Example Values: `1129144` | Value Statics: Total count 1 - Distinct count 1 - Null count 0
lang TEXT... |
beer_factory | Calculate the percentage of sales done at Sac State American River Courtyard. | percentage = MULTIPLY(DIVIDE(SUM(LocationName = 'Sac State American River Courtyard'), COUNT(LocationID)), 1.0); Sac State American River Courtyard refers to LocationName = 'Sac State American River Courtyard'; | SELECT CAST(COUNT(CASE WHEN T2.LocationName = 'Sac State American River Courtyard' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.TransactionID) FROM `transaction` AS T1 INNER JOIN location AS T2 ON T1.LocationID = T2.LocationID | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
law_episode | Which role did Joseph Blair play in the show? | null | SELECT T1.role FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T2.name = 'Joseph Blair' | CREATE TABLE Award
(
result TEXT, -- Example Values: `Winner`, `Nominee` | Value Statics: Total count 22 - Distinct count 2 - Null count 0
person_id TEXT, -- Example Values: `nm0937725`, `nm0792309`, `nm0049569`, `nm0371065`, `nm0288886` | Value Statics: Total count 22 - Distinct count 13 - Null count 0
organi... |
beer_factory | Find the root beer with the most and least amount of profit per unit and list the container types in which these root beers are sold. | most amount of profit per unit refers to MAX(SUBTRACT(CurrentRetailPrice, WholesaleCost)); least amount of profit per unit refers to MIN(SUBTRACT(CurrentRetailPrice, WholesaleCost)); | SELECT * FROM ( SELECT T1.BrandName, T2.ContainerType FROM rootbeerbrand AS T1 INNER JOIN rootbeer AS T2 ON T1.BrandID = T2.BrandID ORDER BY T1.CurrentRetailPrice - T1.WholesaleCost DESC LIMIT 1 ) UNION ALL SELECT * FROM ( SELECT T3.BrandName, T4.ContainerType FROM rootbeerbrand AS T3 INNER JOIN rootbeer AS T4 ON T3.Br... | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
law_episode | Who was nominated for award no.313? Give the full name. | award no.313 refers to award_id = '313'; full name refers to name | SELECT T1.name FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.award_id = 313 | CREATE TABLE Award
(
result TEXT, -- Example Values: `Winner`, `Nominee` | Value Statics: Total count 22 - Distinct count 2 - Null count 0
person_id TEXT, -- Example Values: `nm0937725`, `nm0792309`, `nm0049569`, `nm0371065`, `nm0288886` | Value Statics: Total count 22 - Distinct count 13 - Null count 0
organi... |
address | Provide the congress representatives' IDs of the postal points in East Springfield. | congress representatives' IDs refer to CID; East Springfield is the city; | SELECT T2.district FROM zip_data AS T1 INNER JOIN zip_congress AS T2 ON T1.zip_code = T2.zip_code WHERE T1.city = 'East Springfield' | CREATE TABLE state
(
name TEXT, --
abbreviation TEXT primary key,
);
CREATE TABLE country
(
zip_code INTEGER, --
foreign key (state) references state(abbreviation),
county TEXT, --
primary key (zip_code, county),
state TEXT, --
foreign key (zip_code) references zip_data(zip_code),
);
CREATE TABLE area... |
language_corpus | Please list the Catalan words with an occurrence of over 200000. | occurrence of over 200000 refers to occurrences > 200000; | SELECT word FROM words WHERE occurrences > 200000 | CREATE TABLE words
(
occurrences INTEGER DEFAULT 0, --
word TEXT UNIQUE, --
wid INTEGER PRIMARY KEY AUTOINCREMENT,
);
CREATE TABLE langs
(
lid INTEGER PRIMARY KEY AUTOINCREMENT,
pages INTEGER DEFAULT 0, -- Example Values: `1129144` | Value Statics: Total count 1 - Distinct count 1 - Null count 0
lang TEXT... |
beer_factory | How many breweries are located in North America? | North America refers to country = 'United States'; North America is the name of continent where country = 'United States' is located; | SELECT COUNT(BrandID) FROM rootbeerbrand WHERE Country = 'United States' | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
language_corpus | Please list the title of the pages on which the word "grec" occurred for over 20 times. | occurred for over 20 times refers to occurrences > 20; | SELECT T3.title FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid INNER JOIN pages AS T3 ON T2.pid = T3.pid WHERE T1.word = 'grec' AND T2.occurrences > 20 | CREATE TABLE words
(
occurrences INTEGER DEFAULT 0, --
word TEXT UNIQUE, --
wid INTEGER PRIMARY KEY AUTOINCREMENT,
);
CREATE TABLE langs
(
lid INTEGER PRIMARY KEY AUTOINCREMENT,
pages INTEGER DEFAULT 0, -- Example Values: `1129144` | Value Statics: Total count 1 - Distinct count 1 - Null count 0
lang TEXT... |
talkingdata | Among the users who use SUGAR, calculate the percentage of those who are above 20 years old. | SUGAR refers to phone_brand = 'SUGAR'; percentage = MULTIPLY(DIVIDE(SUM(age > 20), COUNT(device_id)) 1.0); above 20 years old refers to age > 20; | SELECT SUM(IIF(T1.age > 20, 1, 0)) / COUNT(T1.device_id) AS per FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'SUGAR' | CREATE TABLE app_events
(
`is_active` INTEGER NOT NULL, -- Example Values: `0`, `1` | Value Statics: Total count 100000 - Distinct count 2 - Null count 0
`is_installed` INTEGER NOT NULL, -- Example Values: `1` | Value Statics: Total count 100000 - Distinct count 1 - Null count 0
`event_id` INTEGER NOT NULL, --... |
beer_factory | Among the customers not subscribed to the mailing list, what percentage has given three or more stars in a review? | not subscribed to the mailing list refers to SubscribedToEmailList = 'FALSE'; percentage = MULTIPLY(DIVIDE(SUM(CustomerID WHERE StarRating > 3), COUNT(CustomerID) WHERE SubscribedToEmailList = 'FALSE'), 1.0); | SELECT CAST(COUNT(CASE WHEN T2.StarRating > 3 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T2.CustomerID) FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.SubscribedToEmailList = 'FALSE' | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
law_episode | How many times is the number of keywords in "Refuge: Part 1" episode than "Shield" episode? | "Refuge: Part 1" episode refers to title = 'Refuge: Part 1'; "Shield" episode refers to title = 'Shield'; times = divide(count(keyword where title = 'Refuge: Part 1'), count(keyword where title = 'Shield')) | SELECT CAST(SUM(CASE WHEN T1.title = 'Refuge: Part 1' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.title = 'Shield' THEN 1 ELSE 0 END) FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id | CREATE TABLE Award
(
result TEXT, -- Example Values: `Winner`, `Nominee` | Value Statics: Total count 22 - Distinct count 2 - Null count 0
person_id TEXT, -- Example Values: `nm0937725`, `nm0792309`, `nm0049569`, `nm0371065`, `nm0288886` | Value Statics: Total count 22 - Distinct count 13 - Null count 0
organi... |
language_corpus | Which biwords pair has a higher occurrence, "àbac-xinès" or "àbac-grec"? | higher occurrence is MAX(occurrences); àbac refers to word = 'àbac'; xinès refers to word = 'xinès'; grec refers to word = 'grec' | SELECT CASE WHEN ( SELECT occurrences FROM biwords WHERE w1st = ( SELECT wid FROM words WHERE word = 'àbac' ) AND w2nd = ( SELECT wid FROM words WHERE word = 'xinès' ) ) > ( SELECT occurrences FROM biwords WHERE w1st = ( SELECT wid FROM words WHERE word = 'àbac' ) AND w2nd = ( SELECT wid FROM words WHERE word = 'grec' ... | CREATE TABLE words
(
occurrences INTEGER DEFAULT 0, --
word TEXT UNIQUE, --
wid INTEGER PRIMARY KEY AUTOINCREMENT,
);
CREATE TABLE langs
(
lid INTEGER PRIMARY KEY AUTOINCREMENT,
pages INTEGER DEFAULT 0, -- Example Values: `1129144` | Value Statics: Total count 1 - Distinct count 1 - Null count 0
lang TEXT... |
law_episode | For the episode with the most votes, give its air date. | the most votes refers to max(votes) | SELECT T2.air_date FROM Vote AS T1 INNER JOIN Episode AS T2 ON T2.episode_id = T1.episode_id GROUP BY T2.episode_id ORDER BY SUM(T1.votes) DESC LIMIT 1 | CREATE TABLE Award
(
result TEXT, -- Example Values: `Winner`, `Nominee` | Value Statics: Total count 22 - Distinct count 2 - Null count 0
person_id TEXT, -- Example Values: `nm0937725`, `nm0792309`, `nm0049569`, `nm0371065`, `nm0288886` | Value Statics: Total count 22 - Distinct count 13 - Null count 0
organi... |
language_corpus | How many times did the word "grec" occur on the page titled "Àbac"? | how many times occur refers to occurrences; page titled "Àbac" refers to title = 'Àbac' ; | SELECT T2.occurrences FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid INNER JOIN pages AS T3 ON T2.pid = T3.pid WHERE T3.title = 'Àbac' AND T1.word = 'grec' | CREATE TABLE words
(
occurrences INTEGER DEFAULT 0, --
word TEXT UNIQUE, --
wid INTEGER PRIMARY KEY AUTOINCREMENT,
);
CREATE TABLE langs
(
lid INTEGER PRIMARY KEY AUTOINCREMENT,
pages INTEGER DEFAULT 0, -- Example Values: `1129144` | Value Statics: Total count 1 - Distinct count 1 - Null count 0
lang TEXT... |
beer_factory | In the female customers, how many bought root beer that contains artificial sweetener? | female refers to Gender = 'F'; contains artificial sweetener refers to ArtificialSweetener = 'TRUE'; | SELECT COUNT(T1.CustomerID) FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN rootbeer AS T3 ON T2.RootBeerID = T3.RootBeerID INNER JOIN rootbeerbrand AS T4 ON T3.BrandID = T4.BrandID WHERE T1.Gender = 'F' AND T4.ArtificialSweetener = 'TRUE' | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
law_episode | Display the number of 9-star votes the episode Sideshow received. | 9-star vote refers to stars = '9'; episode Sideshow refers to title = 'Sideshow' | SELECT T2.votes FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T2.stars = 9 AND T1.title = 'Sideshow' | CREATE TABLE Award
(
result TEXT, -- Example Values: `Winner`, `Nominee` | Value Statics: Total count 22 - Distinct count 2 - Null count 0
person_id TEXT, -- Example Values: `nm0937725`, `nm0792309`, `nm0049569`, `nm0371065`, `nm0288886` | Value Statics: Total count 22 - Distinct count 13 - Null count 0
organi... |
beer_factory | Among the root beers sold in bottles, how many are sold at the location 38.559615, -121.42243? | in bottles refers to ContainerType = 'Bottle'; location 38.559615, -121.42243 refers to latitude = 38.559615 AND longitude = -121.42243; | SELECT COUNT(T4.BrandID) FROM `transaction` AS T1 INNER JOIN geolocation AS T2 ON T1.LocationID = T2.LocationID INNER JOIN location AS T3 ON T1.LocationID = T3.LocationID INNER JOIN rootbeer AS T4 ON T1.RootBeerID = T4.RootBeerID WHERE T2.Latitude = 38.559615 AND T2.Longitude = -121.42243 AND T4.ContainerType = 'Bottle... | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
language_corpus | What is the total occurrence of the biwords pairs with "àbac" as its first word? | occurrence refers to occurrences; àbac refers to word = 'àbac'; first word refers to w1st | SELECT COUNT(T2.w1st) FROM words AS T1 INNER JOIN biwords AS T2 ON T1.wid = T2.w1st INNER JOIN words AS T3 ON T3.wid = T2.w2nd WHERE T1.word = 'àbac' | CREATE TABLE words
(
occurrences INTEGER DEFAULT 0, --
word TEXT UNIQUE, --
wid INTEGER PRIMARY KEY AUTOINCREMENT,
);
CREATE TABLE langs
(
lid INTEGER PRIMARY KEY AUTOINCREMENT,
pages INTEGER DEFAULT 0, -- Example Values: `1129144` | Value Statics: Total count 1 - Distinct count 1 - Null count 0
lang TEXT... |
law_episode | What are the names of the person that were not credited at the end of episode tt0629391? | not credited refers to credited = ''; episode tt0629391 refers to episode_id = 'tt0629391' | SELECT T2.name FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T1.credited = 'false' AND T1.episode_id = 'tt0629391' | CREATE TABLE Award
(
result TEXT, -- Example Values: `Winner`, `Nominee` | Value Statics: Total count 22 - Distinct count 2 - Null count 0
person_id TEXT, -- Example Values: `nm0937725`, `nm0792309`, `nm0049569`, `nm0371065`, `nm0288886` | Value Statics: Total count 22 - Distinct count 13 - Null count 0
organi... |
beer_factory | Among the male customers in Sacramento, what percentage bought Dominion root beer in 2013? | male customers refers to Gender = 'M'; Sacramento refers to City = 'Sacramento'; percentage = MULTIPLY(DIVIDE(SUM(BrandID WHERE BrandName = 'Dominion'), COUNT(BrandID) WHERE City = 'Sacramento'), 1.0); Dominion refers to BrandName = 'Dominion'; in 2013 refers to TransactionDate > = 2013-01-01 AND TransactionDate < 2014... | SELECT CAST(COUNT(CASE WHEN T4.BrandName = 'Dominion' THEN T1.CustomerID ELSE NULL END) AS REAL) * 100 / COUNT(T1.CustomerID) FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID INNER JOIN rootbeer AS T3 ON T2.RootBeerID = T3.RootBeerID INNER JOIN rootbeerbrand AS T4 ON T3.BrandID = T4.... | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
law_episode | How many episodes did J.K. Simmons' role appear on the show? | null | SELECT COUNT(T1.role) FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T2.name = 'J.K. Simmons' | CREATE TABLE Award
(
result TEXT, -- Example Values: `Winner`, `Nominee` | Value Statics: Total count 22 - Distinct count 2 - Null count 0
person_id TEXT, -- Example Values: `nm0937725`, `nm0792309`, `nm0049569`, `nm0371065`, `nm0288886` | Value Statics: Total count 22 - Distinct count 13 - Null count 0
organi... |
language_corpus | What's the occurrence of the biwords pair whose first word is "àbac" and second word is "xinès"? | àbac refers to word = 'àbac'; xinès refers to word = 'xinès'; occurrence refers to occurrences | SELECT occurrences FROM biwords WHERE w1st = ( SELECT wid FROM words WHERE word = 'àbac' ) AND w2nd = ( SELECT wid FROM words WHERE word = 'xinès' ) | CREATE TABLE words
(
occurrences INTEGER DEFAULT 0, --
word TEXT UNIQUE, --
wid INTEGER PRIMARY KEY AUTOINCREMENT,
);
CREATE TABLE langs
(
lid INTEGER PRIMARY KEY AUTOINCREMENT,
pages INTEGER DEFAULT 0, -- Example Values: `1129144` | Value Statics: Total count 1 - Distinct count 1 - Null count 0
lang TEXT... |
beer_factory | Which root beer got the most five stars in 2012? Give the brand name of this beer. | most five stars refers to MAX(COUNT(StarRating = 5)); in 2012 refers to FirstBrewedYear = 2012; | SELECT T3.BrandName FROM rootbeer AS T1 INNER JOIN rootbeerreview AS T2 ON T1.BrandID = T2.BrandID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID WHERE T2.StarRating = 5 AND strftime('%Y', T2.ReviewDate) = '2012' GROUP BY T1.BrandID ORDER BY COUNT(T2.BrandID) DESC LIMIT 1 | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
law_episode | Calculate the average number of cast members that appeared in the credit from the 185th to the 193rd episode. | appeared in the credit refers to credited = 'TRUE'; from the 185th to the 193rd episode refers to number_in_series between 185 and 193; cast refers to category = 'Cast'; average number = divide(count(episode_id), 9) | SELECT CAST(COUNT(T1.episode_id) AS REAL) / (193 - 185 + 1) FROM Credit AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.category = 'Cast' AND T1.credited = 'true' AND T2.number_in_series BETWEEN 185 AND 193 | CREATE TABLE Award
(
result TEXT, -- Example Values: `Winner`, `Nominee` | Value Statics: Total count 22 - Distinct count 2 - Null count 0
person_id TEXT, -- Example Values: `nm0937725`, `nm0792309`, `nm0049569`, `nm0371065`, `nm0288886` | Value Statics: Total count 22 - Distinct count 13 - Null count 0
organi... |
beer_factory | Which brewery brewed the most sold root beer in 2015? | brewery refers to BreweryName; most sold root beer refers to MAX(COUNT(BrandID)); in 2015 refers to TransactionDate > = '2015-01-01' AND TransactionDate < = '2015-12-31'; | SELECT T3.BreweryName FROM rootbeer AS T1 INNER JOIN `transaction` AS T2 ON T1.RootBeerID = T2.RootBeerID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID WHERE T2.TransactionDate LIKE '2015%' GROUP BY T3.BrandID ORDER BY COUNT(T1.BrandID) DESC LIMIT 1 | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
law_episode | Who is the script supervisor of the series in episode tt0629204? | who refers to name; script supervisor refers to role = 'script supervisor'; episode tt0629204 refers to episode_id = 'tt0629204' | SELECT T2.name FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T1.episode_id = 'tt0629204' AND T1.role = 'script supervisor' | CREATE TABLE Award
(
result TEXT, -- Example Values: `Winner`, `Nominee` | Value Statics: Total count 22 - Distinct count 2 - Null count 0
person_id TEXT, -- Example Values: `nm0937725`, `nm0792309`, `nm0049569`, `nm0371065`, `nm0288886` | Value Statics: Total count 22 - Distinct count 13 - Null count 0
organi... |
language_corpus | Please list all the biwords pairs with "àbac" as its first word. | àbac refers to word = 'àbac'; first word refers to w1st | SELECT T1.word AS W1, T3.word AS W2 FROM words AS T1 INNER JOIN biwords AS T2 ON T1.wid = T2.w1st INNER JOIN words AS T3 ON T3.wid = T2.w2nd WHERE T1.word = 'àbac' | CREATE TABLE words
(
occurrences INTEGER DEFAULT 0, --
word TEXT UNIQUE, --
wid INTEGER PRIMARY KEY AUTOINCREMENT,
);
CREATE TABLE langs
(
lid INTEGER PRIMARY KEY AUTOINCREMENT,
pages INTEGER DEFAULT 0, -- Example Values: `1129144` | Value Statics: Total count 1 - Distinct count 1 - Null count 0
lang TEXT... |
talkingdata | Give the number of male users who use phone branded HTC. | male refers to gender = 'M'; | SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'M' AND T2.phone_brand = 'HTC' | CREATE TABLE app_events
(
`is_active` INTEGER NOT NULL, -- Example Values: `0`, `1` | Value Statics: Total count 100000 - Distinct count 2 - Null count 0
`is_installed` INTEGER NOT NULL, -- Example Values: `1` | Value Statics: Total count 100000 - Distinct count 1 - Null count 0
`event_id` INTEGER NOT NULL, --... |
language_corpus | What is the word pair that occured the highest amount of times in Addicio? Indicate how many times such word pair occured. | word pair refers to w1st.word w2nd.word; occurred the highest amount of times refers to max(occurrences); Addicio refers to title = 'Addicio'; times occurred refer to occurrences | SELECT T3.w1st, T3.w2nd, T3.occurrences FROM pages AS T1 INNER JOIN pages_words AS T2 ON T1.pid = T2.pid INNER JOIN biwords AS T3 ON T2.wid = T3.w1st OR T2.wid = T3.w2nd WHERE T1.title = 'Addicio' ORDER BY T3.occurrences DESC LIMIT 1 | CREATE TABLE words
(
occurrences INTEGER DEFAULT 0, --
word TEXT UNIQUE, --
wid INTEGER PRIMARY KEY AUTOINCREMENT,
);
CREATE TABLE langs
(
lid INTEGER PRIMARY KEY AUTOINCREMENT,
pages INTEGER DEFAULT 0, -- Example Values: `1129144` | Value Statics: Total count 1 - Distinct count 1 - Null count 0
lang TEXT... |
law_episode | How many people, who were born in Canada, won an award in 1999? | born in Canada refers to birth_country = 'Canada'; in 1999 refers to year = 1999 | SELECT COUNT(T1.person_id) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.year = 1999 AND T1.birth_country = 'Canada' | CREATE TABLE Award
(
result TEXT, -- Example Values: `Winner`, `Nominee` | Value Statics: Total count 22 - Distinct count 2 - Null count 0
person_id TEXT, -- Example Values: `nm0937725`, `nm0792309`, `nm0049569`, `nm0371065`, `nm0288886` | Value Statics: Total count 22 - Distinct count 13 - Null count 0
organi... |
language_corpus | How much higher in percentage does the word "grec" occur on the page titled "Àbac" than on the page titled "Astronomia"? | grec refers to word = 'grec'; Àbac refers to title = 'Àbac'; Astronomia refers to title = 'Astronomia'; percentage = DIVIDE(SUBTRACT(occurrences where title = 'Àbac' AND word = 'grec', occurrences where title = 'Astronomia' AND word = 'grec'), occurrences where title = 'Astronomia' AND word = 'grec') | SELECT CAST((SUM(CASE WHEN T3.title = 'Àbac' THEN T2.occurrences END) - SUM(CASE WHEN T3.title = 'Astronomia' THEN T2.occurrences END)) AS REAL) * 100 / SUM(CASE WHEN T3.title = 'Astronomia' THEN T2.occurrences END) FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid INNER JOIN pages AS T3 ON T2.pid = T3.p... | CREATE TABLE words
(
occurrences INTEGER DEFAULT 0, --
word TEXT UNIQUE, --
wid INTEGER PRIMARY KEY AUTOINCREMENT,
);
CREATE TABLE langs
(
lid INTEGER PRIMARY KEY AUTOINCREMENT,
pages INTEGER DEFAULT 0, -- Example Values: `1129144` | Value Statics: Total count 1 - Distinct count 1 - Null count 0
lang TEXT... |
beer_factory | Calculate the difference between the number of root beers sold that use cane sugar and corn syrup. | difference = SUBTRACT(SUM(CaneSugar = 'TRUE'), SUM(CornSyrup = 'TRUE')); use cane sugar refers to CaneSugar = 'TRUE'; corn syrup refers to CornSyrup = 'TRUE'; | SELECT COUNT(CASE WHEN T3.CaneSugar = 'TRUE' THEN T1.BrandID ELSE NULL END) - COUNT(CASE WHEN T3.CornSyrup = 'TRUE' THEN T1.BrandID ELSE NULL END) AS DIFFERENCE FROM rootbeer AS T1 INNER JOIN `transaction` AS T2 ON T1.RootBeerID = T2.RootBeerID INNER JOIN rootbeerbrand AS T3 ON T1.BrandID = T3.BrandID | CREATE TABLE rootbeerbrand
(
Website TEXT, --
State TEXT, -- Example Values: `CA`, `MA`, `LA`, `WA`, `QLD` | Value Statics: Total count 23 - Distinct count 14 - Null count 1
Twitter TEXT, -- Example Values: `https://twitter.com/ilovedads`, `https://twitter.com/1919rootbeer` | Value Statics: Total count 2 - Dist... |
law_episode | How many people have won at least 3 awards? | won refers to result = 'Winner'; at least 3 awards refers to count(result) > 3 | SELECT COUNT(T1.person_id) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.result = 'Winner' GROUP BY T1.person_id HAVING COUNT(T2.award_id) >= 3 | CREATE TABLE Award
(
result TEXT, -- Example Values: `Winner`, `Nominee` | Value Statics: Total count 22 - Distinct count 2 - Null count 0
person_id TEXT, -- Example Values: `nm0937725`, `nm0792309`, `nm0049569`, `nm0371065`, `nm0288886` | Value Statics: Total count 22 - Distinct count 13 - Null count 0
organi... |
law_episode | Who is the tallest camera operator? | who refers to name; the tallest refers to max(height_meters); camera operator refers to role = 'camera operator' | SELECT T2.name FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T1.role = 'camera operator' ORDER BY T2.height_meters DESC LIMIT 1 | CREATE TABLE Award
(
result TEXT, -- Example Values: `Winner`, `Nominee` | Value Statics: Total count 22 - Distinct count 2 - Null count 0
person_id TEXT, -- Example Values: `nm0937725`, `nm0792309`, `nm0049569`, `nm0371065`, `nm0288886` | Value Statics: Total count 22 - Distinct count 13 - Null count 0
organi... |
language_corpus | How many more times does the first word in the biwords pair "àbac-xinès" occur than the biwords pair itself? | àbac refers to word = 'àbac'; xinès refers to word = 'xinès'; How many more times the first word in the biwords occur than the biwords pair itself means SUBTRACT(words.occurrence, biwords.occurrences) | SELECT occurrences - ( SELECT occurrences FROM biwords WHERE w1st = ( SELECT wid FROM words WHERE word = 'àbac' ) AND w2nd = ( SELECT wid FROM words WHERE word = 'xinès' ) ) AS CALUS FROM words WHERE word = 'àbac' | CREATE TABLE words
(
occurrences INTEGER DEFAULT 0, --
word TEXT UNIQUE, --
wid INTEGER PRIMARY KEY AUTOINCREMENT,
);
CREATE TABLE langs
(
lid INTEGER PRIMARY KEY AUTOINCREMENT,
pages INTEGER DEFAULT 0, -- Example Values: `1129144` | Value Statics: Total count 1 - Distinct count 1 - Null count 0
lang TEXT... |
law_episode | What are the keywords of the "Shield" episode? | "Shield" episode refers to title = 'Shield' | SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Shield' | CREATE TABLE Award
(
result TEXT, -- Example Values: `Winner`, `Nominee` | Value Statics: Total count 22 - Distinct count 2 - Null count 0
person_id TEXT, -- Example Values: `nm0937725`, `nm0792309`, `nm0049569`, `nm0371065`, `nm0288886` | Value Statics: Total count 22 - Distinct count 13 - Null count 0
organi... |
law_episode | How many awards has Julia Roberts been nominated for? | been nominated refers to result = 'Nominee' | SELECT COUNT(T2.award_id) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T1.name = 'Julia Roberts' AND T2.result = 'Nominee' | CREATE TABLE Award
(
result TEXT, -- Example Values: `Winner`, `Nominee` | Value Statics: Total count 22 - Distinct count 2 - Null count 0
person_id TEXT, -- Example Values: `nm0937725`, `nm0792309`, `nm0049569`, `nm0371065`, `nm0288886` | Value Statics: Total count 22 - Distinct count 13 - Null count 0
organi... |
law_episode | How many people gave the most enjoyed episode a 10-star rating? | the most enjoyed refers max(rating); 10-star refers to stars = 10 | SELECT COUNT(T1.episode_id) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T2.stars = 10 | CREATE TABLE Award
(
result TEXT, -- Example Values: `Winner`, `Nominee` | Value Statics: Total count 22 - Distinct count 2 - Null count 0
person_id TEXT, -- Example Values: `nm0937725`, `nm0792309`, `nm0049569`, `nm0371065`, `nm0288886` | Value Statics: Total count 22 - Distinct count 13 - Null count 0
organi... |
language_corpus | How many pages does the Catalan language have in Wikipedia? | Catalan language refers to lang = 'ca' | SELECT pages FROM langs WHERE lang = 'ca' | CREATE TABLE words
(
occurrences INTEGER DEFAULT 0, --
word TEXT UNIQUE, --
wid INTEGER PRIMARY KEY AUTOINCREMENT,
);
CREATE TABLE langs
(
lid INTEGER PRIMARY KEY AUTOINCREMENT,
pages INTEGER DEFAULT 0, -- Example Values: `1129144` | Value Statics: Total count 1 - Distinct count 1 - Null count 0
lang TEXT... |
address | Provide the zip codes and area codes of the postal points with the community post office type at the elevation above 6000. | community post office type refers to type = 'Community Post Office'; elevation above 6000 refers to elevation > 6000; | SELECT T1.zip_code, T1.area_code FROM area_code AS T1 INNER JOIN zip_data AS T2 ON T1.zip_code = T2.zip_code WHERE T2.type = 'Community Post Office ' AND T2.elevation > 6000 | CREATE TABLE state
(
name TEXT, --
abbreviation TEXT primary key,
);
CREATE TABLE country
(
zip_code INTEGER, --
foreign key (state) references state(abbreviation),
county TEXT, --
primary key (zip_code, county),
state TEXT, --
foreign key (zip_code) references zip_data(zip_code),
);
CREATE TABLE area... |
law_episode | What is the percentage of people who gave the "True North" episode a 1-star rating? | the "True North" episode refers to title = 'True North'; 1-star refers to stars = 1; percentage = divide(count(episode_id where stars = 1), count(episode_id)) * 100% where title = 'True North' | SELECT CAST(SUM(CASE WHEN T2.stars = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.episode_id) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'True North' AND T1.episode_id = 'tt0629477' | CREATE TABLE Award
(
result TEXT, -- Example Values: `Winner`, `Nominee` | Value Statics: Total count 22 - Distinct count 2 - Null count 0
person_id TEXT, -- Example Values: `nm0937725`, `nm0792309`, `nm0049569`, `nm0371065`, `nm0288886` | Value Statics: Total count 22 - Distinct count 13 - Null count 0
organi... |
language_corpus | How many Wikipedia pages are there on the language of the biwords pair "àbac-xinès"? | àbac refers to word = 'àbac'; xinès refers to word = 'xinès'; Wikipedia pages refer to pages | SELECT COUNT(T1.pages) FROM langs AS T1 INNER JOIN biwords AS T2 ON T1.lid = T2.lid WHERE T2.w1st = ( SELECT wid FROM words WHERE word = 'àbac' ) AND T2.w2nd = ( SELECT wid FROM words WHERE word = 'xinès' ) | CREATE TABLE words
(
occurrences INTEGER DEFAULT 0, --
word TEXT UNIQUE, --
wid INTEGER PRIMARY KEY AUTOINCREMENT,
);
CREATE TABLE langs
(
lid INTEGER PRIMARY KEY AUTOINCREMENT,
pages INTEGER DEFAULT 0, -- Example Values: `1129144` | Value Statics: Total count 1 - Distinct count 1 - Null count 0
lang TEXT... |
talkingdata | Indicate the location of all the events that occurred on April 30, 2016. | location = longitude, latitude; on April 30, 2016 refers timestamp BETWEEN '2016-04-30 00:00:00' AND '2016-04-30 23:59:59'; | SELECT longitude, latitude FROM events WHERE date(timestamp) = '2016-04-30' | CREATE TABLE app_events
(
`is_active` INTEGER NOT NULL, -- Example Values: `0`, `1` | Value Statics: Total count 100000 - Distinct count 2 - Null count 0
`is_installed` INTEGER NOT NULL, -- Example Values: `1` | Value Statics: Total count 100000 - Distinct count 1 - Null count 0
`event_id` INTEGER NOT NULL, --... |
food_inspection_2 | What is the job title of employee who did inspection ID 52269? | job title refers to title | SELECT T1.title FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.inspection_id = 52269 | CREATE TABLE inspection
(
followup_to INTEGER, --
foreign key (employee_id) references employee(employee_id),
employee_id INTEGER, --
license_no INTEGER, --
foreign key (followup_to) references inspection(inspection_id),
foreign key (license_no) references establishment(license_no),
inspection_id INTEGER p... |
world_development_indicators | In 2005, which series codes use the International Monetary Fund, Balance of Payments Statistics Yearbook and data files source? | Year contains '2005'; series codes contain 'International Monetary Fund' | SELECT T1.Seriescode, T2.Source FROM Footnotes AS T1 INNER JOIN Series AS T2 ON T1.Seriescode = T2.SeriesCode WHERE T1.Year LIKE '%2005%' AND T2.Source LIKE 'International Monetary Fund%' | CREATE TABLE CountryNotes
(
primary key (Countrycode, Seriescode),
FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode),
Seriescode TEXT NOT NULL, --
Countrycode TEXT NOT NULL, --
Description TEXT, --
FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode),
);
CREATE TABLE Series
(
BasePeriod TEXT, --... |
food_inspection_2 | What is the inspection result for inspection done by Thomas Langley? | inspection result refers to results | SELECT DISTINCT T2.results FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T1.first_name = 'Thomas' AND T1.last_name = 'Langley' | CREATE TABLE inspection
(
followup_to INTEGER, --
foreign key (employee_id) references employee(employee_id),
employee_id INTEGER, --
license_no INTEGER, --
foreign key (followup_to) references inspection(inspection_id),
foreign key (license_no) references establishment(license_no),
inspection_id INTEGER p... |
world_development_indicators | From 1960 to 1965, which country had the highest Death rate, crude (per 1,000 people)? | IndicatorName = 'Death rate, crude (per 1,000 people)'; the highest refers to MAX(Value); from 1960 to 1965 refers to Year between '1960' and '1965'; country refers to CountryName; | SELECT CountryName FROM Indicators WHERE Year BETWEEN 1960 AND 1965 AND IndicatorName = 'Death rate, crude (per 1,000 people)' ORDER BY Value DESC LIMIT 1 | CREATE TABLE CountryNotes
(
primary key (Countrycode, Seriescode),
FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode),
Seriescode TEXT NOT NULL, --
Countrycode TEXT NOT NULL, --
Description TEXT, --
FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode),
);
CREATE TABLE Series
(
BasePeriod TEXT, --... |
movie_platform | In which year was the movie "La Antena" released? | movie La Antena refers to movie_title = 'La Antena'; which year refers to movie_release_year; | SELECT movie_release_year FROM movies WHERE movie_title = 'La Antena' | CREATE TABLE ratings_users
(
user_cover_image_url TEXT, --
user_avatar_image_url TEXT, --
rating_date_utc TEXT, --
user_trialist INTEGER, -- Example Values: `0`, `1` | Value Statics: Total count 100000 - Distinct count 2 - Null count 0
user_has_payment_method INTEGER, -- Example Values: `0`, `1` | Value S... |
world_development_indicators | What is the minimum of International migrant stock, total of heavily indebted poor countries? | IndicatorName = 'International migrant stock, total'; heavily indebted poor countries referred to by its abbreviated 'HIPC' = OtherGroups; MIN(Value); | SELECT MIN(T2.Value) FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.OtherGroups = 'HIPC' AND T2.IndicatorName = 'International migrant stock, total' | CREATE TABLE CountryNotes
(
primary key (Countrycode, Seriescode),
FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode),
Seriescode TEXT NOT NULL, --
Countrycode TEXT NOT NULL, --
Description TEXT, --
FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode),
);
CREATE TABLE Series
(
BasePeriod TEXT, --... |
movie_platform | Among the movie lists created after 2010/1/1, how many of them have over 200 followers? | created after 2010/1/1 refers to list_update_timestamp_utc>'2010/1/1'; over 200 followers refers to list_followers>200; | SELECT COUNT(*) FROM lists WHERE list_followers > 200 AND list_update_timestamp_utc > '2010-01-01' | CREATE TABLE ratings_users
(
user_cover_image_url TEXT, --
user_avatar_image_url TEXT, --
rating_date_utc TEXT, --
user_trialist INTEGER, -- Example Values: `0`, `1` | Value Statics: Total count 100000 - Distinct count 2 - Null count 0
user_has_payment_method INTEGER, -- Example Values: `0`, `1` | Value S... |
food_inspection_2 | List down the phone numbers of employees who did Canvass inspection. | phone number refers to phone; Canvass inspection refers to inspection_type = 'Canvass' | SELECT DISTINCT T1.phone FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.inspection_type = 'Canvass' | CREATE TABLE inspection
(
followup_to INTEGER, --
foreign key (employee_id) references employee(employee_id),
employee_id INTEGER, --
license_no INTEGER, --
foreign key (followup_to) references inspection(inspection_id),
foreign key (license_no) references establishment(license_no),
inspection_id INTEGER p... |
world_development_indicators | Which country has the highest value of Merchandise imports by the reporting economy (current US$)? | country refers to CountryName; the highest value implies MAX(Value); IndicatorName = 'Merchandise imports by the reporting economy (current US$)'; | SELECT CountryName FROM Indicators WHERE IndicatorName = 'Merchandise imports by the reporting economy (current US$)' ORDER BY Value DESC LIMIT 1 | CREATE TABLE CountryNotes
(
primary key (Countrycode, Seriescode),
FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode),
Seriescode TEXT NOT NULL, --
Countrycode TEXT NOT NULL, --
Description TEXT, --
FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode),
);
CREATE TABLE Series
(
BasePeriod TEXT, --... |
movie_platform | Which movie is more popular, "The General" or "Il grido"? | The General and Il grido are movie_title; more popular movie refers to higher (movie_popularity); | SELECT movie_title FROM movies WHERE movie_title = 'The General' OR movie_title = 'Il grido' ORDER BY movie_popularity DESC LIMIT 1 | CREATE TABLE ratings_users
(
user_cover_image_url TEXT, --
user_avatar_image_url TEXT, --
rating_date_utc TEXT, --
user_trialist INTEGER, -- Example Values: `0`, `1` | Value Statics: Total count 100000 - Distinct count 2 - Null count 0
user_has_payment_method INTEGER, -- Example Values: `0`, `1` | Value S... |
food_inspection_2 | Tell the address of employee who did inspection ID 52238? | null | SELECT T1.address FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.inspection_id = 52238 | CREATE TABLE inspection
(
followup_to INTEGER, --
foreign key (employee_id) references employee(employee_id),
employee_id INTEGER, --
license_no INTEGER, --
foreign key (followup_to) references inspection(inspection_id),
foreign key (license_no) references establishment(license_no),
inspection_id INTEGER p... |
movie_platform | How many movie lists were created by user 83373278 when he or she was a subscriber? | the user was a subscriber when he created the list refers to user_subscriber = 1; user 83373278 refers to user_id = 83373278; | SELECT COUNT(*) FROM lists_users WHERE user_id = 83373278 AND user_subscriber = 1 | CREATE TABLE ratings_users
(
user_cover_image_url TEXT, --
user_avatar_image_url TEXT, --
rating_date_utc TEXT, --
user_trialist INTEGER, -- Example Values: `0`, `1` | Value Statics: Total count 100000 - Distinct count 2 - Null count 0
user_has_payment_method INTEGER, -- Example Values: `0`, `1` | Value S... |
food_inspection_2 | What type of inspection was done at John Schaller? | type of inspection refers to inspection_type; John Schaller refers to dba_name = 'JOHN SCHALLER' | SELECT DISTINCT T2.inspection_type FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.dba_name = 'JOHN SCHALLER' | CREATE TABLE inspection
(
followup_to INTEGER, --
foreign key (employee_id) references employee(employee_id),
employee_id INTEGER, --
license_no INTEGER, --
foreign key (followup_to) references inspection(inspection_id),
foreign key (license_no) references establishment(license_no),
inspection_id INTEGER p... |
world_development_indicators | What percentage of countries in South Asia have the Life expectancy at birth, female (years) greater than 50? | South Asia is the name of the region; IndicatorName = 'Life expectancy at birth, female (years)'; greater than 50 refers to Value>50; DIVIDE(COUNT(CountryCode where IndicatorName = 'Life expectancy at birth, female (years)'; Value>50; Region = 'South Asia'), COUNT(CountryCode where Region = 'South Asia')) as percentage... | SELECT CAST(SUM(CASE WHEN T2.value > 50 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.CountryCode) FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.Region = 'South Asia' AND T2.IndicatorName = 'Life expectancy at birth, female (years)' | CREATE TABLE CountryNotes
(
primary key (Countrycode, Seriescode),
FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode),
Seriescode TEXT NOT NULL, --
Countrycode TEXT NOT NULL, --
Description TEXT, --
FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode),
);
CREATE TABLE Series
(
BasePeriod TEXT, --... |
movie_platform | Was the user who created the list "250 Favourite Films" a trialist when he or she created the list? | the user was a trialist when he created the list refers to user_trailist = 1; 250 Favourite Films is list_title; | SELECT T2.user_trialist FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.list_id = T2.list_id AND T1.user_id = T2.user_id WHERE T1.list_title = '250 Favourite Films' | CREATE TABLE ratings_users
(
user_cover_image_url TEXT, --
user_avatar_image_url TEXT, --
rating_date_utc TEXT, --
user_trialist INTEGER, -- Example Values: `0`, `1` | Value Statics: Total count 100000 - Distinct count 2 - Null count 0
user_has_payment_method INTEGER, -- Example Values: `0`, `1` | Value S... |
food_inspection_2 | List down the address of employees who did inspection dated 11/5/2010. | dated 11/5/2010 refers to inspection_date = '2010-11-05' | SELECT DISTINCT T1.address FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.inspection_date = '2010-11-05' | CREATE TABLE inspection
(
followup_to INTEGER, --
foreign key (employee_id) references employee(employee_id),
employee_id INTEGER, --
license_no INTEGER, --
foreign key (followup_to) references inspection(inspection_id),
foreign key (license_no) references establishment(license_no),
inspection_id INTEGER p... |
world_development_indicators | Which country had the highest value of indicator belongs to Private Sector & Trade: Exports topic? Please list the country name and indicator name. | country refers to CountryName; | SELECT T1.CountryName, T1.IndicatorName FROM Indicators AS T1 INNER JOIN Series AS T2 ON T1.IndicatorName = T2.IndicatorName WHERE T2.Topic = 'Private Sector & Trade: Exports' ORDER BY T1.Value DESC LIMIT 1 | CREATE TABLE CountryNotes
(
primary key (Countrycode, Seriescode),
FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode),
Seriescode TEXT NOT NULL, --
Countrycode TEXT NOT NULL, --
Description TEXT, --
FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode),
);
CREATE TABLE Series
(
BasePeriod TEXT, --... |
movie_platform | Please give me the url of the movie "La Antena". | movie La Antena refers to movie_title = 'La Antena'; url refers to movie_url; | SELECT movie_url FROM movies WHERE movie_title = 'La Antena' | CREATE TABLE ratings_users
(
user_cover_image_url TEXT, --
user_avatar_image_url TEXT, --
rating_date_utc TEXT, --
user_trialist INTEGER, -- Example Values: `0`, `1` | Value Statics: Total count 100000 - Distinct count 2 - Null count 0
user_has_payment_method INTEGER, -- Example Values: `0`, `1` | Value S... |
food_inspection_2 | How many inspections done in 2010 had serious food safety issue? | in 2010 refers to inspection_date like '2010%'; had serious food safety issue refers to risk_level = 3 | SELECT COUNT(T2.inspection_id) FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE strftime('%Y', T2.inspection_date) = '2010' AND T1.risk_level = 3 | CREATE TABLE inspection
(
followup_to INTEGER, --
foreign key (employee_id) references employee(employee_id),
employee_id INTEGER, --
license_no INTEGER, --
foreign key (followup_to) references inspection(inspection_id),
foreign key (license_no) references establishment(license_no),
inspection_id INTEGER p... |
world_development_indicators | Please list the indicator names of Arab World whose values are higher than 50 in 1960. | Arab World refers to CountryName; Year = '1960'; values are higher than 50 refers to Value>50; | SELECT IndicatorName FROM Indicators WHERE CountryName = 'Arab World' AND Year = 1960 AND Value > 50 | CREATE TABLE CountryNotes
(
primary key (Countrycode, Seriescode),
FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode),
Seriescode TEXT NOT NULL, --
Countrycode TEXT NOT NULL, --
Description TEXT, --
FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode),
);
CREATE TABLE Series
(
BasePeriod TEXT, --... |
movie_platform | How many movie lists with over 100 movies had user 85981819 created when he or she was a paying subscriber? | the user was a paying subscriber when he created the list refers to user_has_payment_method = 1; movie lists with over 100 refers to list_movie_number >100; user 85981819 refers to user_id = 85981819; | SELECT COUNT(*) FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.list_id = T2.list_id AND T1.user_id = T2.user_id WHERE T1.user_id = 85981819 AND T1.list_movie_number > 100 AND T2.user_has_payment_method = 1 | CREATE TABLE ratings_users
(
user_cover_image_url TEXT, --
user_avatar_image_url TEXT, --
rating_date_utc TEXT, --
user_trialist INTEGER, -- Example Values: `0`, `1` | Value Statics: Total count 100000 - Distinct count 2 - Null count 0
user_has_payment_method INTEGER, -- Example Values: `0`, `1` | Value S... |
food_inspection_2 | What are the inspection results for Xando Coffee & Bar / Cosi Sandwich Bar? | Xando Coffee & Bar / Cosi Sandwich Bar refers to dba_name = 'XANDO COFFEE & BAR / COSI SANDWICH BAR' | SELECT DISTINCT T2.results FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T1.dba_name = 'XANDO COFFEE & BAR / COSI SANDWICH BAR' | CREATE TABLE inspection
(
followup_to INTEGER, --
foreign key (employee_id) references employee(employee_id),
employee_id INTEGER, --
license_no INTEGER, --
foreign key (followup_to) references inspection(inspection_id),
foreign key (license_no) references establishment(license_no),
inspection_id INTEGER p... |
world_development_indicators | From 1968 to 1970, what are indicator names whose license type is open and values are less than 100? | From 1968 to 1970 refers to Year between '1968' and '1970'; values are less than 100 imply Value<100; | SELECT DISTINCT T1.IndicatorName FROM Indicators AS T1 INNER JOIN Series AS T2 ON T1.IndicatorName = T2.IndicatorName WHERE T1.Year >= 1968 AND T1.Year < 1971 AND T2.LicenseType = 'Open' AND T1.Value < 100 | CREATE TABLE CountryNotes
(
primary key (Countrycode, Seriescode),
FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode),
Seriescode TEXT NOT NULL, --
Countrycode TEXT NOT NULL, --
Description TEXT, --
FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode),
);
CREATE TABLE Series
(
BasePeriod TEXT, --... |
movie_platform | How many movies registered on Mubi are directed by Hong Sang-soo? | Hong Sang-soo is the name of director; | SELECT COUNT(movie_id) FROM movies WHERE director_name = 'Hong Sang-soo' | CREATE TABLE ratings_users
(
user_cover_image_url TEXT, --
user_avatar_image_url TEXT, --
rating_date_utc TEXT, --
user_trialist INTEGER, -- Example Values: `0`, `1` | Value Statics: Total count 100000 - Distinct count 2 - Null count 0
user_has_payment_method INTEGER, -- Example Values: `0`, `1` | Value S... |
world_development_indicators | Please list out all annual indicator names of Sudan in 1961? | Sudan is the name of the country; Periodicity = 'Annual'; Year = '1961' | SELECT T1.IndicatorName FROM Indicators AS T1 INNER JOIN Series AS T2 ON T1.IndicatorName = T2.IndicatorName WHERE T1.CountryName = 'Sudan' AND T1.Year = 1961 AND T2.Periodicity = 'Annual' | CREATE TABLE CountryNotes
(
primary key (Countrycode, Seriescode),
FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode),
Seriescode TEXT NOT NULL, --
Countrycode TEXT NOT NULL, --
Description TEXT, --
FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode),
);
CREATE TABLE Series
(
BasePeriod TEXT, --... |
movie_platform | Please list the titles of the movie lists user 32172230 created when he or she was eligible for trial. | the user was eligible for trail when he created the list refers to user_eligile_for_trail = 1; user 32172230 refers to user_id = 32172230; | SELECT T1.list_title FROM lists AS T1 INNER JOIN lists_users AS T2 ON T1.list_id = T2.list_id AND T1.user_id = T2.user_id WHERE T1.user_id = 32172230 AND T2.user_eligible_for_trial = 1 | CREATE TABLE ratings_users
(
user_cover_image_url TEXT, --
user_avatar_image_url TEXT, --
rating_date_utc TEXT, --
user_trialist INTEGER, -- Example Values: `0`, `1` | Value Statics: Total count 100000 - Distinct count 2 - Null count 0
user_has_payment_method INTEGER, -- Example Values: `0`, `1` | Value S... |
food_inspection_2 | List down the dba name of restaurants that were inspected due to license. | inspected due to license refers to inspection_type = 'License' | SELECT T1.dba_name FROM establishment AS T1 INNER JOIN inspection AS T2 ON T1.license_no = T2.license_no WHERE T2.inspection_type = 'License' | CREATE TABLE inspection
(
followup_to INTEGER, --
foreign key (employee_id) references employee(employee_id),
employee_id INTEGER, --
license_no INTEGER, --
foreign key (followup_to) references inspection(inspection_id),
foreign key (license_no) references establishment(license_no),
inspection_id INTEGER p... |
world_development_indicators | Please list annual indicator names which have values of more than 100 in 1965. | Annual refers to Periodicity; values of more than 100 implies Value>100; Year = '1965'; | SELECT DISTINCT T2.IndicatorName FROM Indicators AS T1 INNER JOIN Series AS T2 ON T1.IndicatorName = T2.IndicatorName WHERE T1.Year = 1965 AND T1.Value > 100 AND T2.Periodicity = 'Annual' | CREATE TABLE CountryNotes
(
primary key (Countrycode, Seriescode),
FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode),
Seriescode TEXT NOT NULL, --
Countrycode TEXT NOT NULL, --
Description TEXT, --
FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode),
);
CREATE TABLE Series
(
BasePeriod TEXT, --... |
movie_platform | How much is the popularity of the movie that has the highest popularity between 1920 to 1929 and when did the movie received its first rating score of 1 from the users who were a paying subscriber when they rated the movie ? | movie with highest popularity refers to MAX(movie_popularity); movie_release_year BETWEEN 1920 AND 1929; when the movie received its first rating score of 1 refers to oldest date in rating_timestamp_utc where rating score = 1; user was a paying subscriber when they rated the movie refers to user_has_payment_method = 1; | SELECT MAX(T2.movie_popularity), MIN(T1.rating_timestamp_utc) FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_release_year BETWEEN 1920 AND 1929 AND T1.rating_score = 1 AND T1.user_has_payment_method = 1 | CREATE TABLE ratings_users
(
user_cover_image_url TEXT, --
user_avatar_image_url TEXT, --
rating_date_utc TEXT, --
user_trialist INTEGER, -- Example Values: `0`, `1` | Value Statics: Total count 100000 - Distinct count 2 - Null count 0
user_has_payment_method INTEGER, -- Example Values: `0`, `1` | Value S... |
food_inspection_2 | Calculate the total salary for employees who did inspection from ID 52270 to 52272. | inspection from ID 52270 to 52272 refers to inspection_id between 52270 and 52272 | SELECT SUM(T2.salary) FROM inspection AS T1 INNER JOIN employee AS T2 ON T1.employee_id = T2.employee_id WHERE T1.inspection_id BETWEEN 52270 AND 52272 | CREATE TABLE inspection
(
followup_to INTEGER, --
foreign key (employee_id) references employee(employee_id),
employee_id INTEGER, --
license_no INTEGER, --
foreign key (followup_to) references inspection(inspection_id),
foreign key (license_no) references establishment(license_no),
inspection_id INTEGER p... |
world_development_indicators | What percentage of upper middle income countries which have the CO2 emissions from liquid fuel consumption (% of total)
less than 80%? | IndicatorName = 'CO2 emissions from liquid fuel consumption (% of total)'; less than 80% implies Value<80%; IncomeGroup = 'Upper middle income'; DIVIDE(COUNT(CountryCode where IndicatorName = 'CO2 emissions from liquid fuel consumption (% of total)'; Value<80%; IncomeGroup = 'Upper middle income'), COUNT(CountryCode wh... | SELECT SUM(CASE WHEN T2.IndicatorName = 'CO2 emissions FROM liquid fuel consumption (% of total)' AND t2.Value < 80 THEN 1 ELSE 0 END) * 1.0 / COUNT(T1.CountryCode) persent FROM Country AS T1 INNER JOIN Indicators AS T2 ON T1.CountryCode = T2.CountryCode WHERE T1.IncomeGroup = 'Upper middle income' | CREATE TABLE CountryNotes
(
primary key (Countrycode, Seriescode),
FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode),
Seriescode TEXT NOT NULL, --
Countrycode TEXT NOT NULL, --
Description TEXT, --
FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode),
);
CREATE TABLE Series
(
BasePeriod TEXT, --... |
movie_platform | What is the URL to the user profile image on Mubi of the user who gave the movie id of 1103 a 5 ratinng score on 4/19/2020? | URL to the user profile image on Mubi refers to user_avatar_image_url; 4/19/2020 refers to rating_date_utc | SELECT T2.user_avatar_image_url FROM ratings AS T1 INNER JOIN ratings_users AS T2 ON T1.user_id = T2.user_id WHERE T2.user_id = 1103 AND rating_score = 5 AND T2.rating_date_utc = '2020-04-19' | CREATE TABLE ratings_users
(
user_cover_image_url TEXT, --
user_avatar_image_url TEXT, --
rating_date_utc TEXT, --
user_trialist INTEGER, -- Example Values: `0`, `1` | Value Statics: Total count 100000 - Distinct count 2 - Null count 0
user_has_payment_method INTEGER, -- Example Values: `0`, `1` | Value S... |
food_inspection_2 | Write down the last name of employee who did inspection ID 52238? | null | SELECT T1.last_name FROM employee AS T1 INNER JOIN inspection AS T2 ON T1.employee_id = T2.employee_id WHERE T2.inspection_id = 52238 | CREATE TABLE inspection
(
followup_to INTEGER, --
foreign key (employee_id) references employee(employee_id),
employee_id INTEGER, --
license_no INTEGER, --
foreign key (followup_to) references inspection(inspection_id),
foreign key (license_no) references establishment(license_no),
inspection_id INTEGER p... |
world_development_indicators | Which indicator name uses the Weighted average method and has the lowest value? | AggregationMethod = 'Weighted average'; the lowest value implies MIN(Value); | SELECT T1.IndicatorName, MIN(T1.Value) FROM Indicators AS T1 INNER JOIN Series AS T2 ON T1.IndicatorName = T2.IndicatorName WHERE T2.AggregationMethod = 'Weighted average' | CREATE TABLE CountryNotes
(
primary key (Countrycode, Seriescode),
FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode),
Seriescode TEXT NOT NULL, --
Countrycode TEXT NOT NULL, --
Description TEXT, --
FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode),
);
CREATE TABLE Series
(
BasePeriod TEXT, --... |
world_development_indicators | List out the series code of countries using Euro as their currency unit. | null | SELECT DISTINCT T2.SeriesCode FROM Country AS T1 INNER JOIN CountryNotes AS T2 ON T1.CountryCode = T2.Countrycode WHERE T1.CurrencyUnit = 'Euro' | CREATE TABLE CountryNotes
(
primary key (Countrycode, Seriescode),
FOREIGN KEY (Seriescode) REFERENCES Series(SeriesCode),
Seriescode TEXT NOT NULL, --
Countrycode TEXT NOT NULL, --
Description TEXT, --
FOREIGN KEY (Countrycode) REFERENCES Country(CountryCode),
);
CREATE TABLE Series
(
BasePeriod TEXT, --... |
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