db_id stringclasses 66
values | question stringlengths 24 325 | evidence stringlengths 1 673 ⌀ | gold_query stringlengths 23 804 | db_schema stringclasses 66
values |
|---|---|---|---|---|
disney | Find the estimated inflation rate that was used to adjust the 1995 box office revenue for Disney's films. | DIVIDE(inflation_adjusted_gross, total_gross) as percentage where substr(release_date, length(release_date) - 3, length(release_date)) = '1995'; | SELECT SUM(CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL)) / SUM(CAST(REPLACE(trim(total_gross, '$'), ',', '') AS REAL)) FROM movies_total_gross WHERE SUBSTR(release_date, LENGTH(release_date) - 3, LENGTH(release_date)) = '1995' GROUP BY SUBSTR(release_date, LENGTH(release_date) - 3, LENGTH(release... | CREATE TABLE movies_total_gross
(
MPAA_rating TEXT, -- Example Values: `G`, ``, `Not Rated`, `PG`, `R` | Value Statics: Total count 579 - Distinct count 6 - Null count 0
release_date TEXT, --
total_gross TEXT, --
foreign key (movie_title) references characters(movie_title),
movie_title TEXT, --
genre TEX... |
simpson_episodes | Which episode has the largest number of votes? | largest number of votes refers to MAX(votes) | SELECT episode FROM Episode WHERE votes = ( SELECT MAX(votes) FROM Episode ); | CREATE TABLE Keyword
(
foreign key (episode_id) references Episode(episode_id),
keyword TEXT, --
primary key (episode_id, keyword),
episode_id TEXT, --
);
CREATE TABLE Vote
(
foreign key (episode_id) references Episode(episode_id),
votes INTEGER, --
episode_id TEXT, --
percent REAL, --
stars INTEGER... |
public_review_platform | How many "bars" are there in the Yelp business? | bars refers to category_name = 'Bars'; | SELECT COUNT(T1.category_id) FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id WHERE T1.category_name LIKE 'Bars' | CREATE TABLE Attributes
(
attribute_name TEXT, --
attribute_id INTEGER constraint Attributes_pk primary key,
);
CREATE TABLE Elite
(
year_id INTEGER constraint Elite_Years_year_id_fk references Years, -- Example Values: `2010`, `2011`, `2012`, `2013`, `2014` | Value Statics: Total count 16366 - Distinct count 10 ... |
simpson_episodes | How many times was Ian Maxtone-Graham nominated for an award in Writers Guild of America, USA? | "Ian Maxtone-Graham" is the person; nominated refers to result = 'Nominee'; 'Writers Guild of America, USA' is the organization | SELECT COUNT(award_id) FROM Award WHERE person = 'Ian Maxtone-Graham' AND organization = 'Writers Guild of America, USA' AND result = 'Nominee'; | CREATE TABLE Keyword
(
foreign key (episode_id) references Episode(episode_id),
keyword TEXT, --
primary key (episode_id, keyword),
episode_id TEXT, --
);
CREATE TABLE Vote
(
foreign key (episode_id) references Episode(episode_id),
votes INTEGER, --
episode_id TEXT, --
percent REAL, --
stars INTEGER... |
public_review_platform | What business category is the Yelp business which got the most 5 star reviews in? | business category refers to category_name; most 5 star reviews refers to MAX(COUNT(category_name WHERE star_reviews = 5)); | SELECT T1.category_name FROM Categories AS T1 INNER JOIN Business_Categories AS T2 ON T1.category_id = T2.category_id INNER JOIN Business AS T3 ON T2.business_id = T3.business_id INNER JOIN Reviews AS T4 ON T3.business_id = T4.business_id WHERE T4.review_stars = 5 GROUP BY T1.category_name ORDER BY COUNT(T1.category_na... | CREATE TABLE Attributes
(
attribute_name TEXT, --
attribute_id INTEGER constraint Attributes_pk primary key,
);
CREATE TABLE Elite
(
year_id INTEGER constraint Elite_Years_year_id_fk references Years, -- Example Values: `2010`, `2011`, `2012`, `2013`, `2014` | Value Statics: Total count 16366 - Distinct count 10 ... |
simpson_episodes | Who is the oldest among all the casts and crews? | oldest refers to MIN(birthdate) | SELECT name FROM Person ORDER BY birthdate ASC LIMIT 1; | CREATE TABLE Keyword
(
foreign key (episode_id) references Episode(episode_id),
keyword TEXT, --
primary key (episode_id, keyword),
episode_id TEXT, --
);
CREATE TABLE Vote
(
foreign key (episode_id) references Episode(episode_id),
votes INTEGER, --
episode_id TEXT, --
percent REAL, --
stars INTEGER... |
public_review_platform | For the user who gave the most number of long reviews, what is his/her averge ratings of all review? | long reviews refers to review_length = 'long'; most number of long reviews refers to MAX(COUNT(review_length = 'long')); average ratings = AVG(review_stars); | SELECT CAST(SUM(T1.review_stars) AS REAL) / COUNT(T1.review_stars) FROM Reviews AS T1 INNER JOIN Users AS T2 ON T1.user_id = T2.user_id WHERE T1.review_length LIKE 'Long' GROUP BY T1.user_id ORDER BY COUNT(T1.review_length) DESC LIMIT 1 | CREATE TABLE Attributes
(
attribute_name TEXT, --
attribute_id INTEGER constraint Attributes_pk primary key,
);
CREATE TABLE Elite
(
year_id INTEGER constraint Elite_Years_year_id_fk references Years, -- Example Values: `2010`, `2011`, `2012`, `2013`, `2014` | Value Statics: Total count 16366 - Distinct count 10 ... |
simpson_episodes | What are the episodes that have the average rating with more than 20 of 2-star votes? | 2-star refers to stars = 2; average rating refers to 5 < rating < = 7; more than 20 of 2-star votes refers to votes > 20 | SELECT DISTINCT T1.episode_id FROM Episode AS T1 INNER JOIN Vote AS T2 ON T2.episode_id = T1.episode_id WHERE T2.stars = 2 AND T2.votes > 20 AND T1.rating > 5.0 AND T1.rating <= 7.0; | CREATE TABLE Keyword
(
foreign key (episode_id) references Episode(episode_id),
keyword TEXT, --
primary key (episode_id, keyword),
episode_id TEXT, --
);
CREATE TABLE Vote
(
foreign key (episode_id) references Episode(episode_id),
votes INTEGER, --
episode_id TEXT, --
percent REAL, --
stars INTEGER... |
authors | State the year and title of papers written by Barrasa. | 'Barassa' is name of paper author | SELECT T1.Year, T1.Title FROM Paper AS T1 INNER JOIN PaperAuthor AS T2 ON T1.Id = T2.PaperId WHERE T2.Name = 'Barrasa' | CREATE TABLE Journal
(
FullName TEXT, --
ShortName TEXT, --
HomePage TEXT, --
Id INTEGER constraint Journal_pk primary key,
);
CREATE TABLE Conference
(
ShortName TEXT, --
Id INTEGER constraint Conference_pk primary key,
HomePage TEXT, --
FullName TEXT, --
);
CREATE TABLE Paper
(
Title TEXT, -- ... |
language_corpus | Is word id "88" the word id for title "Animals"? | word id "88" refers to wid = 88 | SELECT CASE WHEN COUNT(T1.pid) > 0 THEN 'YES' ELSE 'NO' END AS YORN FROM pages AS T1 INNER JOIN pages_words AS T2 ON T1.pid = T2.pid WHERE T2.wid = 88 AND T1.title = 'Animals' | 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 description of the root beer brand A&W? | A&W refers to BrandName = 'A&W'; | SELECT Description FROM rootbeerbrand WHERE BrandName = 'A&W' | 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 | List down the words with word id from 1 to 10 and write down a paired word for each of them. | word id from 1 to 10 refers to wid BETWEEN 1 AND 10 | SELECT T1.word AS W1, T3.word AS W2 FROM words AS T1 LEFT JOIN biwords AS T2 ON T1.wid = T2.w1st LEFT JOIN words AS T3 ON T3.wid = T2.w2nd WHERE T1.wid <= 10 GROUP BY T1.wid | 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 | Which gender logged in the most to an event in the first 10 days of May 2016? | gender that logged in the most refers to MAX(COUNT(gender)); first 10 days of May 2016 refers to timestamp BETWEEN '2016-05-01 00:00:00' AND '2016-05-10 23:59:59'; | SELECT T.gender FROM ( SELECT T1.gender, COUNT(T1.device_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE date(T2.timestamp) BETWEEN '2016-05-01' AND '2016-05-10' GROUP BY T1.gender ) AS T ORDER BY T.num DESC LIMIT 1 | 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 are the words that were paired with "John", list down 10 of them. | pair with "John" refers to w1st.word = "John" or w2nd.word = "John" | SELECT w2nd FROM biwords WHERE w1st = ( SELECT wid FROM words WHERE word = 'john' ) LIMIT 10 | 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 | Please list the names of all the root beer brands that are advertised on facebook. | name of the root beer brand refers to BrandName; advertised on facebook refers to FacebookPage IS not NULL; | SELECT BrandName FROM rootbeerbrand WHERE FacebookPage IS NOT NULL | 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 | Indicate which is the word that is repeated the most times. | repeated the most times refer to MAX(occurrences); | SELECT word FROM words WHERE occurrences = ( SELECT MAX(occurrences) FROM words ) | 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 name of the root beer brand with the lowest unit profit available to wholesalers? | name of the root beer brand refers to BrandName; lowest unit profit available to wholesalers refers to MIN(SUBTRACT(CurrentRetailPrice, WholesaleCost)); | SELECT BrandName FROM rootbeerbrand ORDER BY CurrentRetailPrice - WholesaleCost 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... |
talkingdata | What age group is the most using SM-T2558 model phones? | age group using SM-T2558 model phones the most refers to MAX(COUNT(group WHERE device_model = 'SM-T2558')); SM-T2558 model phones refers to device_model = 'SM-T2558'; | SELECT T.`group` FROM ( SELECT T1.`group`, COUNT(T1.device_id) AS num FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'SM-T2558' GROUP BY T1.`group` ) AS T ORDER BY T.num DESC LIMIT 1 | 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 | List down the revision page id of titles where "fresc" appears. | page id refers to pid; "fresc" refers to word = 'fresc' | SELECT T3.revision 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 = 'fresc' | 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 | Locate all events on devices of women under 30 years old. | locate = longitude, latitude; women refers to gender = 'F'; under 30 years old refers to age < 30; | SELECT T1.device_id FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'F' AND T1.age < 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, --... |
language_corpus | For corpus title "Atomium", pick 3 words appear in the title and calculate the total occurence of these words. | total occurrences refers to sum(occurrences) | SELECT T1.word, T1.occurrences FROM words AS T1 INNER JOIN pages_words AS T2 ON T1.wid = T2.wid WHERE T2.pid = ( SELECT pid FROM pages WHERE title = 'Atomium' ) LIMIT 3 | 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 | How many men under the age of 23 have apps installed but are not active on their devices? | men refers to gender = 'M'; under the age of 23 refers to age < 23; installed refers to is_installed = 1; not active refers to is_active = 0; | SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id INNER JOIN app_events_relevant AS T3 ON T2.event_id = T3.event_id WHERE T1.gender = 'M' AND T3.is_active = 0 AND T1.age < 23 | 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 title of the page that has the fewest words? | has the fewest words refers to MIN(COUNT(words)); | SELECT title FROM pages WHERE title = ( SELECT MIN(words) FROM pages ) | 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 transactions had Frank-Paul Santangelo made in July, 2014? | in July, 2014 refers to SUBSTR(TransactionDate, 1, 4) = '2014' AND SUBSTR(TransactionDate, 6, 2) = '07'; | SELECT COUNT(T1.CustomerID) FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.First = 'Frank-Paul' AND T1.Last = 'Santangelo' AND STRFTIME('%Y-%m', T2.TransactionDate) = '2014-07' | 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... |
talkingdata | Calculate the average age of people who have apps installed but are not active on their devices. | average age = AVG(age); installed refers to is_installed = 1; not active refers to is_active = 0; | SELECT AVG(T1.age) FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id INNER JOIN app_events_relevant AS T3 ON T2.event_id = T3.event_id WHERE T3.is_installed = 1 AND T3.is_active = 0 | 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, --... |
talkingdata | How many people over the age of 50 do not have HTC One M8 Eye phones? | over the age of 50 refers to age > 50; do not have HTC One M8 Eye phones refers to phone_brand ! = 'HTC' AND device_model ! = 'One M8 Eye'; | 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.age > 50 AND T2.device_model != 'One M8 Eye' 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 are the total occurence of words that paired with "nombre"? | total occurrence refers to sum(occurrences); paired with "nombre" refers to w1st.word = "nombre" or w2nd.word = "nombre" | SELECT SUM(T2.occurrences) FROM words AS T1 INNER JOIN biwords AS T2 ON T1.wid = T2.w1st OR T1.wid = T2.w2nd WHERE T2.w1st IN (( SELECT wid FROM words WHERE word = 'nombre' ) OR T2.w2nd IN ( SELECT wid 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... |
talkingdata | What percentage of women do not have applications installed on their mobile with respect to men? | percentage = MULTIPLY(DIVIDE(SUM(gender = 'F'), SUM(gender = 'M')), 1.0); women refers to gender = 'F'; not installed refers to is_installed = 0; men refers to gender = 'M'; | SELECT SUM(IIF(T1.gender = 'F', 1, 0)) / SUM(IIF(T1.gender = 'M', 1, 0)) AS per FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id INNER JOIN app_events_relevant AS T3 ON T2.event_id = T3.event_id WHERE T3.is_installed = 0 | 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 | What is the name of the root beer brand that has the longest history? | name of the root beer brand refers to BrandName; longest history refers to MIN(FirstBrewedYear); | SELECT BrandName FROM rootbeerbrand WHERE FirstBrewedYear = ( SELECT MIN(FirstBrewedYear) FROM rootbeerbrand ) | 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... |
talkingdata | Please list any three events that have the longitude and latitude of 0. | null | SELECT event_id FROM events WHERE longitude = 0 AND latitude = 0 LIMIT 3 | 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 | Calculate the average number of different words that appear on all pages whose title begins with A. | DIVIDE(SUM(words WHERE title = 'A%'), COUNT(words WHERE title = 'A%')) as percentage; A is a letter; | SELECT AVG(words) FROM pages WHERE title LIKE 'A%' | 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 users that permit the company to send regular emails to them, how many of them had made a transaction with a Visa card in July, 2014? | users permit the company to send regular emails to them refers to subscribedtoemaillist = 'TRUE'; Visa card refers to creditcardtype = 'Visa'; in July, 2014 refers to SUBSTR(TransactionDate, 1, 4) = '2014' AND SUBSTR(TransactionDate, 6, 2) = '07'; | SELECT COUNT(T1.CustomerID) FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.SubscribedToEmailList = 'TRUE' AND T2.CreditCardType = 'Visa' AND STRFTIME('%Y-%m', T2.TransactionDate) = '2014-07' | 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... |
talkingdata | On what date were the most events logged on devices for 40-year-old male users? | date refers to timestamp; most events refers to MAX(COUNT(event_id)); 40-year-old refers to age = 40; male refers to gender = 'M'; | SELECT T.timestamp FROM ( SELECT T2.timestamp, COUNT(T2.event_id) AS num FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.gender = 'M' AND T1.age = 40 GROUP BY T2.timestamp ) AS T ORDER BY T.num DESC LIMIT 1 | 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 | Indicate the page id of Wikipedia about Catalan language of all the pages that have a numeric value in their title. | the page id of Wikipedia refers to pid; numeric value contains only numbers, LIKE '%0%' OR '%1%' OR '%2%' OR '%3%' OR '%4%' OR '%5%' OR '%6%' OR '%7%' OR '%8%' OR '%9%'; | SELECT pid, title FROM pages WHERE title LIKE '%0%' OR '%1%' OR '%2%' OR '%3%' OR '%4%' OR '%5%' OR '%6%' OR '%7%' OR '%8%' OR '%9%' | 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 | Please list any three devices that are owned by female users. | female refers to gender = 'F'; | SELECT device_id FROM gender_age WHERE gender = 'F' LIMIT 3 | 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 | How many total occurrences are there in the three-letter words? | three-letter words are words composed of exactly three letters; | SELECT SUM(occurrences) FROM words WHERE LENGTH(word) = 3 | 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 which city is the brewery AJ Stephans Beverages located? | AJ Stephans refers to BreweryName = 'AJ Stephans Beverages'; | SELECT City FROM rootbeerbrand WHERE BreweryName = 'AJ Stephans Beverages' | 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... |
talkingdata | Please list any three events that happened on the 1st of May 2016 that have the same latitude of 31. | on the 1st of May 2016 refers to timestamp like '2016-05-01%'; | SELECT event_id FROM events WHERE timestamp LIKE '2016-05-01%' AND latitude = 31 LIMIT 3 | 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 | Of the 4 root beers that Frank-Paul Santangelo purchased on 2014/7/7, how many of them were in cans? | on 2014/7/7 refers to transactiondate = '2014-07-07'; in cans refers to containertype = 'Can'; | 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 WHERE T1.First = 'Frank-Paul' AND T1.Last = 'Santangelo' AND T2.TransactionDate = '2014-07-07' AND T3.ContainerType = 'Can' | 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... |
talkingdata | What is the difference between the events of device number -9222956879900150000 that can be located and those that are unable to be located? | difference = SUBTRACT(SUM(latitude! = 0 and longitude! = 0), SUM(latitude = 0 and longitude = 0)); device number refers to device_id; device_id = -922956879900150000; can be location refers to latitude ! = 0 and longitude ! = 0; unable to be location refers to latitude = 0 and longitude = 0; | SELECT SUM(IIF(latitude != 0 AND longitude != 0, 1, 0)) - SUM(IIF(latitude = 0 AND longitude = 0, 1, 0)) AS diff FROM events WHERE device_id = '-922956879900150000' | 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 | State one biword pair with occurence of 4. | biword pair refers to w1st.word w2nd.word; occurrence of 4 refers to occurrences = 4 | SELECT T1.word, T3.word 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 T2.occurrences = 4 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... |
talkingdata | Please list any three OPPO device models. | OPPO refers to phone_brand = 'OPPO'; | SELECT device_model FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO' LIMIT 3 | 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 | Calculate the percentage of pages that have 1500 different words. | DIVIDE(COUNT(pages WHERE words = 1500), COUNT(pages)) as percentage; | SELECT CAST(COUNT(CASE WHEN words = 1500 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(page) FROM pages WHERE words > 300 LIMIT 3 | 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 transactions made in July, 2014, how many of them were made by a male customer? | in July, 2014 refers to SUBSTR(TransactionDate, 1, 4) = '2014' AND SUBSTR(TransactionDate, 6, 2) = '07'; male customer refers to Gender = 'M'; | SELECT COUNT(T1.CustomerID) FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.Gender = 'M' AND STRFTIME('%Y-%m', T2.TransactionDate) = '2014-07' | 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... |
talkingdata | How many women have apps from the game-Finding fault category installed on their device? | women refers to gender = 'F'; installed refers to is_installed = 1; | SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id INNER JOIN app_events_relevant AS T3 ON T2.event_id = T3.event_id WHERE T1.age < 23 AND T1.gender = 'F' AND T3.is_active = 0 AND T3.is_installed = 1 | 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 | Please list the brands of all the root beer that Frank-Paul Santangelo had purchased on 2014/7/7. | brands of the root beer refers to BrandName; purchased on 2014/7/7 refers to transactiondate = '2014-07-07'; | SELECT DISTINCT T4.BrandName 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.First = 'Frank-Paul' AND T1.Last = 'Santangelo' AND T2.TransactionDate = '2014-0... | 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... |
talkingdata | Which gender owned more of the Galaxy Note 2 device model? | gender that owned more = SUBTRACT(IF(SUM(gender = 'M'), SUM(gender = 'F'),'M','F')); | SELECT IIF(SUM(IIF(T1.gender = 'M', 1, 0)) - SUM(IIF(T1.gender = 'F', 1, 0)) > 0, 'M', 'F') AS gender FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Galaxy Note 2' | 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 pair of words that is repeated the most times? Identify them by their ID. | repeated the most times refer to MAX(occurrences); pair is a relationship of two words: w1st and w2nd, where w1st is word id of the first word and w2nd is a word id of the second word; | SELECT w1st, w2nd FROM biwords WHERE occurrences = ( SELECT MAX(occurrences) FROM biwords ) | 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... |
language_corpus | Indicate on how many different pages the word ripoll appears. | This is not; | SELECT T3.page 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 = 'ripoll' | 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 | Describe the number of postal points and the countries in West Virginia. | postal points refer to zip_code; West Virginia is the name of the state, in which name = 'West Virginia'; | SELECT COUNT(DISTINCT T2.zip_code), COUNT(DISTINCT T2.county) FROM state AS T1 INNER JOIN country AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'West Virginia' | 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 | Calculate the average number of repetitions in the pairs of words in which the first word id is number 34. | Pair is a relationship of two words: w1st and w2nd, where w1st is word id of the first word and w2nd is a word id of the second word; the first word id number 34 refers to w1st = 34; repetition refers to occurrences or times this pair appears; DIVIDE(SUM(occurrences where w1st = 34), COUNT(occurrences where w1st = 34))... | SELECT CAST(SUM(CASE WHEN w1st = 34 THEN 1 ELSE 0 END) AS REAL) / COUNT(w1st) FROM biwords | 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 | Please list any five app categories that are related to games, along with their label ID. | app categories refers to category; related to games refers to category like '%game%'; | SELECT category, label_id FROM label_categories WHERE category LIKE '%game%' LIMIT 5 | 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 | Please list the full names of the customers who have purchased at least one root beer produced by AJ Stephans Beverages. | full name = First, Last; customers who have purchased at least one root beer refers to CustomerID > = 1; produced by AJ Stephans Beverages refers to BreweryName = 'AJ Stephans Beverages'; | SELECT T1.First, T1.Last 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 T4.BreweryName = 'AJ Stephans Beverages' | 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... |
talkingdata | Which behavior category does user number 5902120154267990000 belong to? | behavior category refers to category; number refers to app_id; app_id = 5902120154267990000; | SELECT T1.category FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T2.app_id = 5902120154267990000 | 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 | Indicate the title of all the pages in which the word comunitat appears. | This is not; | 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 = 'comunitat' | 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 full name of the customer that had made the most transactions in August, 2014? | full name = First, Last; made the most transactions refers to MAX(COUNT(TransactionID)); in August, 2014 refers to SUBSTR(TransactionDate, 1, 4) = '2014' AND SUBSTR(TransactionDate, 6, 2) = '08'; | SELECT T1.First, T1.Last FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE STRFTIME('%Y-%m', T2.TransactionDate) = '2014-08' GROUP BY T1.CustomerID ORDER BY COUNT(T2.CustomerID) 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... |
talkingdata | What is the percentage of users who experienced event number 6 who have the app installed but do not use the app? | percentage = MULTIPLY(DIVIDE(SUM(is_installed = 1 and is_active = 0), COUNT(app_id)), 1.0); event number refers to event_id = 6; installed refers to is_installed = 1; do not use refers to is_active = 0; | SELECT SUM(IIF(is_installed = 1 AND is_active = 0, 1, 0)) / COUNT(app_id) AS perrcent FROM app_events WHERE event_id = 6 | 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 title of corpus where word "desena" appear? | This is not | SELECT T1.title FROM pages AS T1 INNER JOIN pages_words AS T2 ON T1.pid = T2.pid INNER JOIN words AS T3 ON T2.wid = T3.wid WHERE T3.word = 'desena' | 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 | When did event number 2 happen and how many users were active? | event number refers to event_id; event_id = 2; active refers to is_active = 1; | SELECT COUNT(T1.app_id) AS num FROM app_events AS T1 INNER JOIN events AS T2 ON T1.event_id = T2.event_id WHERE T1.event_id = 2 AND T1.is_active = 1 GROUP BY T2.timestamp | 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 | What is the number of the credit card that Frank-Paul Santangelo used to purchase root beers on 2014/7/7? | number of the credit card refers to CreditCardNumber; on 2014/7/7 refers to TransactionDate = '2014-07-07'; | SELECT DISTINCT T2.CreditCardNumber FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.First = 'Frank-Paul' AND T1.Last = 'Santangelo' AND T2.TransactionDate = '2014-07-07' | 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... |
talkingdata | What is the age and gender of the person who uses the device number 29182687948017100 on event number 1? | device number refers to device_id; device_id = 29182687948017100; event number refers to event_id; and event_id = 1; | SELECT T1.age, T1.gender FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T1.device_id = 29182687948017100 AND T2.event_id = 1 | 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 | Indicate if there is any pair formed by the words fukunaga and d'egees. | Pair is a relationship of two words: w1st and w2nd, where w1st is word id of the first word and w2nd is a word id of the second word; w1st = word = 'fukunaga' or w2nd = word = 'fukunaga'; w1st = word = 'd'egees'or w2nd = word = 'd'egees'; | SELECT CASE WHEN COUNT(T1.wid) > 0 THEN 'yes' ELSE 'no' END FROM words AS T1 INNER JOIN biwords AS T2 ON T1.wid = T2.w1st OR T1.wid = T2.w2nd WHERE T2.w1st = ( SELECT wid FROM words WHERE T1.word = 'fukunaga' ) AND T2.w2nd = ( SELECT wid FROM words WHERE word LIKE 'd%egees' ) | 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... |
language_corpus | Calculate the percentage of times that the same word appears in a pair. | Pair is a relationship of two words: w1st and w2nd, where w1st is word id of the first word and w2nd is a word id of the second word; the same word appears in a pair refers to w1st = w2nd; times refers to occurrences; DIVIDE(COUNT(occurrences where w1st = w2nd), COUNT(occurrences)) as percentage; | SELECT CAST(COUNT(CASE WHEN w1st = w2nd THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(w1st) FROM biwords | 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 root beers of the Bulldog were purchased in August, 2014? | Bulldog refers to BrandName = 'Bulldog'; purchased in August, 2014 refers to SUBSTR(TransactionDate, 1, 4) = '2014' AND SUBSTR(TransactionDate, 6, 2) = '08'; | SELECT COUNT(T1.BrandID) 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 '2014-08%' AND T3.BrandName = 'Bulldog' | 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... |
talkingdata | Identify by their id all the devices that are used by women who are in the age range of 29 to 31 years. | id refers to device_id; women refers to gender = 'F'; age range of 29 to 31 years refers to age between 29 and 31; | SELECT device_id FROM gender_age_train WHERE age BETWEEN 29 AND 31 AND gender = 'F' | 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 | Please list any three Wikipedia pages with more than 300 words. | more than 300 words refers to words > 300; list any three means limit 3; Wikipedia pages refers to page; | SELECT page FROM pages WHERE words > 300 LIMIT 3 | 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 brands that do not advertise on Twitter, how many of them have root beers sold in August, 2014? | do not advertise on Twitter refers to twitter IS NULL; in August, 2014 refers to SUBSTR(TransactionDate, 1, 4) = '2014' AND SUBSTR(TransactionDate, 6, 2) = '08'; | SELECT COUNT(T1.BrandID) 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 '2014-08%' AND T3.Twitter IS NULL | 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... |
talkingdata | When did event number 7 happen for user number -8022267440849930000? | event number refers to event_id; event_id = 7; user number refers to app_id; app_id = -8022267440849930000; | SELECT T1.timestamp FROM events_relevant AS T1 INNER JOIN app_events AS T2 ON T1.event_id = T2.event_id WHERE T2.app_id = -8022267440849930000 AND T1.event_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, --... |
language_corpus | How many words are repeated on the Llista de conflictes armats page? | title = 'Llista de conflictes armats'; How many repeated refers to occurrences; | SELECT occurrences FROM pages_words WHERE pid = ( SELECT pid FROM pages WHERE title = 'Llista de conflictes armats' ) | 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 | How many users belong to the same behavior category as comics? | behavior category refers to category; category = 'comics'; | SELECT COUNT(T2.app_id) FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id WHERE T1.category = 'comics' | 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 | Which Wikipedia page number does the Catalan language's name, Acampada, appear on? | Wikipedia page number refers to page; title = 'Acampada'; | SELECT page FROM pages WHERE title = '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 | Please list the dates on which a male customer has purchased more than 3 root beers. | dates of purchase refers to TransactionDate; male customer refers to Gender = 'M'; purchased more than 3 root beers refers to COUNT(CustomerID) > 3; | SELECT T2.TransactionDate FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.Gender = 'M' GROUP BY T2.TransactionDate HAVING COUNT(T2.CustomerID) > 3 | 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 are the occurance of word "del" in title "Any anomalÃstic"? | This is not | 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 T1.word = 'del' AND T3.title = 'Any anomalÃstic' | 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 | Calculate the average number of beneficiaries per postal point in Guam. | DIVIDE(SUM(total_beneficiaries), COUNT(zip_code)) where name = 'Guam'; | SELECT CAST(SUM(T2.total_beneficiaries) AS REAL) / COUNT(T2.zip_code) FROM state AS T1 INNER JOIN zip_data AS T2 ON T1.abbreviation = T2.state WHERE T1.name = 'Guam' | 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... |
movie_platform | List ther users who gave the worst rating for movie 'Love Will Tear Us Apart'. | worst rating refers to rating_score = 1; | SELECT T1.user_id FROM ratings AS T1 INNER JOIN movies AS T2 ON T1.movie_id = T2.movie_id WHERE T2.movie_title = 'Love Will Tear Us Apart' AND T1.rating_score = 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... |
talkingdata | How many male users have the log of events at the same longitude of 114? | male refers to gender = 'M'; | SELECT COUNT(T1.device_id) FROM gender_age AS T1 INNER JOIN events_relevant AS T2 ON T1.device_id = T2.device_id WHERE T2.longitude = 114 AND T1.gender = 'M' | 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 | Please list the top three most frequently occurring words and their ids. | most frequently occurring words refer to MAX(occurrences); id refers to wid; | SELECT word, wid FROM words ORDER BY occurrences DESC LIMIT 3 | 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 | Tell the number of reviews given by James House. | FALSE; | SELECT COUNT(T2.CustomerID) FROM customers AS T1 INNER JOIN rootbeerreview AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.First = 'James' AND T1.Last = 'House' | 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... |
talkingdata | Please provide the age group of any LG Nexus 4 device users. | age group refers to `group`; LG Nexus 4 refers to phone_brand = 'LG' AND device_model = 'Nexus 4'; | SELECT T1.`group` FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.phone_brand = 'LG' AND T2.device_model = 'Nexus 4' | 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, --... |
movie_platform | List all movie title rated in April 2020 from user who was a trialist. | movie title rated in April 2020 refers to rating_timestamp_utc LIKE '%2020-04-%'; user is a trial list refers to user_trialist = 1; | SELECT T1.movie_title FROM movies AS T1 INNER JOIN ratings AS T2 ON T1.movie_id = T2.movie_id WHERE T2.user_trialist = 1 AND T2.rating_timestamp_utc LIKE '2020-04%' | 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... |
beer_factory | Among all the root beers purchased by Frank-Paul Santangelo, how many of them were non-sweetened? | non-sweetened refers to honey = 'FALSE' AND artificialsweetener = 'FALSE'; | 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.First = 'Frank-Paul' AND T1.Last = 'Santangelo' AND T4.ArtificialSweetener = 'FAL... | 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... |
talkingdata | On which brand of phone are the most applications installed? | brand of phone refers to phone_brand; most applications are installed refers to MAX(COUNT(is_installed = 1)); | SELECT T.phone_brand FROM ( SELECT T1.phone_brand, COUNT(T4.is_active) AS num FROM phone_brand_device_model2 AS T1 INNER JOIN gender_age AS T2 ON T1.device_id = T2.device_id INNER JOIN events_relevant AS T3 ON T2.device_id = T3.device_id INNER JOIN app_events_relevant AS T4 ON T3.event_id = T4.event_id WHERE T4.is_acti... | 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 | Calculate the average of repetitions in the pages that have a total of 100 different words. | Repetition refers to occurrences; 100 different words refers to words = 100; DIVIDE(SUM(occurrences where words = 100), COUNT(page where words = 100)) as percentage; | SELECT CAST(SUM(T2.occurrences) AS REAL) / COUNT(T1.page) FROM pages AS T1 INNER JOIN pages_words AS T2 ON T1.pid = T2.pid WHERE T1.words = 100 | 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... |
language_corpus | What is the percentage of words in the Catalan language that have a repetition of more than 16,000 times? | words in the Catalan language refers lid = 1; repetition of more than 16,000 times refers to occurrences > 16000; DIVIDE(COUNT(words where lid = 1 and occurrences > 16000), COUNT(words where lid = 1)) as percentage; | SELECT CAST(COUNT(CASE WHEN occurrences > 16000 THEN lid ELSE NULL END) AS REAL) * 100 / COUNT(lid) FROM langs_words | 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 all the root beers sold in 2014, what is the percentage of the root beers produced by the brewery AJ Stephans Beverages? | sold in 2014 refers to SUBSTR(TransactionDate, 1, 4) = '2014'; percentage = DIVIDE(MULTIPLY(SUM(BreweryName = 'AJ Stephans Beverages'), 1.0), COUNT(RootBeerID)) WHERE SUBSTR(TransactionDate, 1, 4) = '2014'; AJ Stephans Beverages refers to BreweryName = 'AJ Stephans Beverages'; | SELECT CAST(COUNT(CASE WHEN T3.BreweryName = 'AJ Stephans Beverages' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.BrandID) 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 '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... |
talkingdata | What is the percentage of users who are in the same behavior category as "Academic Information"? | percentage = MULTIPLY(DIVIDE(SUM(category = 'Academic Information'), COUNT(app_id)), 1.0); behavior category refers to category; category = 'Academic Information'; | SELECT SUM(IIF(T1.category = 'Academic Information', 1.0, 0)) / COUNT(T2.app_id) AS per FROM label_categories AS T1 INNER JOIN app_labels AS T2 ON T1.label_id = T2.label_id | 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, --... |
address | Calculate the percentage of congress representatives from the Democrat party. Among them, how many postal points are in the Hawaii state? | DIVIDE(COUNT(party = 'Democrat'), COUNT(congress_rep_id)) as percentage; postal points refer to zip_code; state = 'Hawaii'; | SELECT CAST(SUM(CASE WHEN T1.party = 'Democrat' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*), SUM(CASE WHEN T1.state = 'Hawaii' THEN 1 ELSE 0 END) FROM congress AS T1 INNER JOIN zip_congress AS T2 ON T1.cognress_rep_id = T2.district | 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 | How many times did the word number 8 appear? | word number 8 refers to wid = 8; How many times refer to occurrences; | SELECT occurrences FROM words WHERE wid = 8 | 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 | State the coordinate of Sac State American River Courtyard. | coordinate = Latitude, Longitude; Sac State American River Courtyard refers to LocationName = 'Sac State American River Courtyard'; | SELECT T2.Latitude, T2.Longitude FROM location AS T1 INNER JOIN geolocation AS T2 ON T1.LocationID = T2.LocationID WHERE T1.LocationName = 'Sac State American River Courtyard' | 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... |
talkingdata | What are the behavior categories that user number -9222198347540750000 belongs to? | behavior categories refers to category; user number refers to app_id; app_id = -9222198347540750000; | SELECT T3.category FROM app_all AS T1 INNER JOIN app_labels AS T2 ON T1.app_id = T2.app_id INNER JOIN label_categories AS T3 ON T2.label_id = T3.label_id WHERE T1.app_id = -9222198347540750000 | 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 | What is the average number of root beers of the brand A&W sold in a day in August, 2014? | average = DIVIDE(SUM(COUNT(RootBeerID WHERE BrandName = 'A&W' AND SUBSTR(TransactionDate, 1, 4) = '2014' AND SUBSTR(TransactionDate, 6, 2) = '08')), 31); A&W refers to BrandName = 'A&W'; in August, 2014 refers to SUBSTR(TransactionDate, 1, 4) = '2014' AND SUBSTR(TransactionDate, 6, 2) = '08'; | SELECT CAST(COUNT(T1.BrandID) AS REAL) / 31 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 '2014-08%' AND T3.BrandName = 'A&W' | 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... |
talkingdata | Please provide the gender of at least one user who owns an HTC Desire 826 device. | HTC Desire 826 refers to phone_brand = 'HTC' AND device_model = 'Desire 826'; | SELECT T1.gender FROM gender_age AS T1 INNER JOIN phone_brand_device_model2 AS T2 ON T1.device_id = T2.device_id WHERE T2.device_model = 'Desire 826' 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, --... |
talkingdata | How many OPPO devices are there? | OPPO devices refers to phone_brand = 'OPPO'; | SELECT COUNT(device_id) FROM phone_brand_device_model2 WHERE phone_brand = 'OPPO' | 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 number of words are there on revision page 27457362? | This is not; | SELECT words FROM pages WHERE revision = 27457362 | 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 phone number of the customer who owns the credit card of number 6011179359005380? | FALSE; | SELECT DISTINCT T1.PhoneNumber FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.CreditCardNumber = 6011179359005382 | 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 | Among the title with single digit word count, list down 5 revision page ID of these titles. | single digit word count refers to words < 10 | SELECT revision FROM pages WHERE words < 10 LIMIT 5 | 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... |
language_corpus | What proportion of a pair of words in the Catalan language have been repeated less than 80 times? | Pair is a relationship of two words: w1st and w2nd, where w1st is word id of the first word and w2nd is a word id of the second word; in the Catalan language refers to lid; repeated less than 80 times refers to occurrences < 80; DIVIDE(COUNT(lid where occurrences < 80), COUNT(lid)) as percentage; | SELECT CAST(COUNT(CASE WHEN occurrences < 80 THEN lid ELSE NULL END) AS REAL) * 100 / COUNT(lid) FROM biwords | 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 | Show the credit card number of Lisa Ling. | FALSE; | SELECT DISTINCT T2.CreditCardNumber FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T1.First = 'Lisa' AND T1.Last = 'Ling' | 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... |
beer_factory | Which city does the customer who finished transaction no.103545 live in? | transaction no. refers to TransactionID; TransactionID = 103545; | SELECT T1.City FROM customers AS T1 INNER JOIN `transaction` AS T2 ON T1.CustomerID = T2.CustomerID WHERE T2.TransactionID = 103545 | 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... |
talkingdata | How many events does the device "4069764298338760000" have? | null | SELECT COUNT(event_id) FROM events WHERE device_id = 4069764298338760000 | 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, --... |
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