Datasets:
HusnaManakkot
/
updated-dataset

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bike_1
SELECT date FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31
What are the dates that have an average sea level pressure between 30.3 and 31?
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[ "What", "are", "the", "dates", "that", "have", "an", "average", "sea", "level", "pressure", "between", "30.3", "and", "31", "?" ]
bike_1
SELECT date , max_temperature_f - min_temperature_f FROM weather ORDER BY max_temperature_f - min_temperature_f LIMIT 1
Find the day in which the difference between the max temperature and min temperature was the smallest. Also report the difference.
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bike_1
SELECT date , max_temperature_f - min_temperature_f FROM weather ORDER BY max_temperature_f - min_temperature_f LIMIT 1
What are the days that had the smallest temperature range, and what was that range?
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bike_1
SELECT DISTINCT T1.id , T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available > 12
What are the id and name of the stations that have ever had more than 12 bikes available?
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bike_1
SELECT DISTINCT T1.id , T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available > 12
What are the different ids and names of the stations that have had more than 12 bikes available?
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bike_1
SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_humidity) < 70 INTERSECT SELECT zip_code FROM trip GROUP BY zip_code HAVING count(*) >= 100
Give me the zip code where the average mean humidity is below 70 and at least 100 trips took place.
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bike_1
SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_humidity) < 70 INTERSECT SELECT zip_code FROM trip GROUP BY zip_code HAVING count(*) >= 100
What are the zip codes that have an average mean humidity below 70 and had at least 100 trips come through there?
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bike_1
SELECT name FROM station WHERE city = "Palo Alto" EXCEPT SELECT end_station_name FROM trip GROUP BY end_station_name HAVING count(*) > 100
What are the names of stations that are located in Palo Alto city but have never been the ending point of trips more than 100 times?
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bike_1
SELECT name FROM station WHERE city = "Palo Alto" EXCEPT SELECT end_station_name FROM trip GROUP BY end_station_name HAVING count(*) > 100
What are the names of the stations that are located in Palo Alto but have never been the ending point of the trips
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bike_1
SELECT count(*) FROM station AS T1 JOIN trip AS T2 JOIN station AS T3 JOIN trip AS T4 ON T1.id = T2.start_station_id AND T2.id = T4.id AND T3.id = T4.end_station_id WHERE T1.city = "Mountain View" AND T3.city = "Palo Alto"
How many trips started from Mountain View city and ended at Palo Alto city?
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bike_1
SELECT count(*) FROM station AS T1 JOIN trip AS T2 JOIN station AS T3 JOIN trip AS T4 ON T1.id = T2.start_station_id AND T2.id = T4.id AND T3.id = T4.end_station_id WHERE T1.city = "Mountain View" AND T3.city = "Palo Alto"
How many trips stated from a station in Mountain View and ended at one in Palo Alto?
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bike_1
SELECT avg(T1.lat) , avg(T1.long) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id
What is the average latitude and longitude of the starting points of all trips?
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bike_1
SELECT avg(T1.lat) , avg(T1.long) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id
What is the average latitude and longitude of all starting stations for the trips?
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book_2
SELECT count(*) FROM book
How many books are there?
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book_2
SELECT Writer FROM book ORDER BY Writer ASC
List the writers of the books in ascending alphabetical order.
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book_2
SELECT Title FROM book ORDER BY Issues ASC
List the titles of the books in ascending order of issues.
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book_2
SELECT Title FROM book WHERE Writer != "Elaine Lee"
What are the titles of the books whose writer is not "Elaine Lee"?
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book_2
SELECT Title , Issues FROM book
What are the title and issues of the books?
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book_2
SELECT Publication_Date FROM publication ORDER BY Price DESC
What are the dates of publications in descending order of price?
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book_2
SELECT DISTINCT Publisher FROM publication WHERE Price > 5000000
What are the distinct publishers of publications with price higher than 5000000?
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book_2
SELECT Publisher FROM publication ORDER BY Price DESC LIMIT 1
List the publisher of the publication with the highest price.
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book_2
SELECT Publication_Date FROM publication ORDER BY Price ASC LIMIT 3
List the publication dates of publications with 3 lowest prices.
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book_2
SELECT T1.Title , T2.Publication_Date FROM book AS T1 JOIN publication AS T2 ON T1.Book_ID = T2.Book_ID
Show the title and publication dates of books.
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book_2
SELECT T1.Writer FROM book AS T1 JOIN publication AS T2 ON T1.Book_ID = T2.Book_ID WHERE T2.Price > 4000000
Show writers who have published a book with price more than 4000000.
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book_2
SELECT T1.Title FROM book AS T1 JOIN publication AS T2 ON T1.Book_ID = T2.Book_ID ORDER BY T2.Price DESC
Show the titles of books in descending order of publication price.
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book_2
SELECT Publisher FROM publication GROUP BY Publisher HAVING COUNT(*) > 1
Show publishers that have more than one publication.
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book_2
SELECT Publisher , COUNT(*) FROM publication GROUP BY Publisher
Show different publishers together with the number of publications they have.
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book_2
SELECT Publication_Date FROM publication GROUP BY Publication_Date ORDER BY COUNT(*) DESC LIMIT 1
Please show the most common publication date.
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book_2
SELECT Writer FROM book GROUP BY Writer HAVING COUNT(*) > 1
List the writers who have written more than one book.
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book_2
SELECT Title FROM book WHERE Book_ID NOT IN (SELECT Book_ID FROM publication)
List the titles of books that are not published.
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book_2
SELECT Publisher FROM publication WHERE Price > 10000000 INTERSECT SELECT Publisher FROM publication WHERE Price < 5000000
Show the publishers that have publications with price higher than 10000000 and publications with price lower than 5000000.
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book_2
SELECT COUNT (DISTINCT Publication_Date) FROM publication
What is the number of distinct publication dates?
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book_2
SELECT COUNT (DISTINCT Publication_Date) FROM publication
How many distinct publication dates are there in our record?
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book_2
SELECT Price FROM publication WHERE Publisher = "Person" OR Publisher = "Wiley"
Show the prices of publications whose publisher is either "Person" or "Wiley"
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musical
SELECT count(*) FROM actor
How many actors are there?
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musical
SELECT count(*) FROM actor
Count the number of actors.
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musical
SELECT Name FROM actor ORDER BY Name ASC
List the name of actors in ascending alphabetical order.
[ "SELECT", "Name", "FROM", "actor", "ORDER", "BY", "Name", "ASC" ]
[ "select", "name", "from", "actor", "order", "by", "name", "asc" ]
[ "List", "the", "name", "of", "actors", "in", "ascending", "alphabetical", "order", "." ]
musical
SELECT Name FROM actor ORDER BY Name ASC
What are the names of actors, ordered alphabetically?
[ "SELECT", "Name", "FROM", "actor", "ORDER", "BY", "Name", "ASC" ]
[ "select", "name", "from", "actor", "order", "by", "name", "asc" ]
[ "What", "are", "the", "names", "of", "actors", ",", "ordered", "alphabetically", "?" ]
musical
SELECT Character , Duration FROM actor
What are the characters and duration of actors?
[ "SELECT", "Character", ",", "Duration", "FROM", "actor" ]
[ "select", "character", ",", "duration", "from", "actor" ]
[ "What", "are", "the", "characters", "and", "duration", "of", "actors", "?" ]
musical
SELECT Character , Duration FROM actor
Return the characters and durations for each actor.
[ "SELECT", "Character", ",", "Duration", "FROM", "actor" ]
[ "select", "character", ",", "duration", "from", "actor" ]
[ "Return", "the", "characters", "and", "durations", "for", "each", "actor", "." ]
musical
SELECT Name FROM actor WHERE Age != 20
List the name of actors whose age is not 20.
[ "SELECT", "Name", "FROM", "actor", "WHERE", "Age", "!", "=", "20" ]
[ "select", "name", "from", "actor", "where", "age", "!", "=", "value" ]
[ "List", "the", "name", "of", "actors", "whose", "age", "is", "not", "20", "." ]
musical
SELECT Name FROM actor WHERE Age != 20
What are the names of actors who are not 20 years old?
[ "SELECT", "Name", "FROM", "actor", "WHERE", "Age", "!", "=", "20" ]
[ "select", "name", "from", "actor", "where", "age", "!", "=", "value" ]
[ "What", "are", "the", "names", "of", "actors", "who", "are", "not", "20", "years", "old", "?" ]
musical
SELECT Character FROM actor ORDER BY age DESC
What are the characters of actors in descending order of age?
[ "SELECT", "Character", "FROM", "actor", "ORDER", "BY", "age", "DESC" ]
[ "select", "character", "from", "actor", "order", "by", "age", "desc" ]
[ "What", "are", "the", "characters", "of", "actors", "in", "descending", "order", "of", "age", "?" ]
musical
SELECT Character FROM actor ORDER BY age DESC
Return the characters for actors, ordered by age descending.
[ "SELECT", "Character", "FROM", "actor", "ORDER", "BY", "age", "DESC" ]
[ "select", "character", "from", "actor", "order", "by", "age", "desc" ]
[ "Return", "the", "characters", "for", "actors", ",", "ordered", "by", "age", "descending", "." ]
musical
SELECT Duration FROM actor ORDER BY Age DESC LIMIT 1
What is the duration of the oldest actor?
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[ "select", "duration", "from", "actor", "order", "by", "age", "desc", "limit", "value" ]
[ "What", "is", "the", "duration", "of", "the", "oldest", "actor", "?" ]
musical
SELECT Duration FROM actor ORDER BY Age DESC LIMIT 1
Return the duration of the actor with the greatest age.
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[ "select", "duration", "from", "actor", "order", "by", "age", "desc", "limit", "value" ]
[ "Return", "the", "duration", "of", "the", "actor", "with", "the", "greatest", "age", "." ]
musical
SELECT Name FROM musical WHERE Nominee = "Bob Fosse"
What are the names of musicals with nominee "Bob Fosse"?
[ "SELECT", "Name", "FROM", "musical", "WHERE", "Nominee", "=", "``", "Bob", "Fosse", "''" ]
[ "select", "name", "from", "musical", "where", "nominee", "=", "value" ]
[ "What", "are", "the", "names", "of", "musicals", "with", "nominee", "``", "Bob", "Fosse", "''", "?" ]
musical
SELECT Name FROM musical WHERE Nominee = "Bob Fosse"
Return the names of musicals who have the nominee Bob Fosse.
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[ "select", "name", "from", "musical", "where", "nominee", "=", "value" ]
[ "Return", "the", "names", "of", "musicals", "who", "have", "the", "nominee", "Bob", "Fosse", "." ]
musical
SELECT DISTINCT Nominee FROM musical WHERE Award != "Tony Award"
What are the distinct nominees of the musicals with the award that is not "Tony Award"?
[ "SELECT", "DISTINCT", "Nominee", "FROM", "musical", "WHERE", "Award", "!", "=", "``", "Tony", "Award", "''" ]
[ "select", "distinct", "nominee", "from", "musical", "where", "award", "!", "=", "value" ]
[ "What", "are", "the", "distinct", "nominees", "of", "the", "musicals", "with", "the", "award", "that", "is", "not", "``", "Tony", "Award", "''", "?" ]
musical
SELECT DISTINCT Nominee FROM musical WHERE Award != "Tony Award"
Return the different nominees of musicals that have an award that is not the Tony Award.
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musical
SELECT T1.Name , T2.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID
Show names of actors and names of musicals they are in.
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[ "Show", "names", "of", "actors", "and", "names", "of", "musicals", "they", "are", "in", "." ]
musical
SELECT T1.Name , T2.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID
What are the names of actors and the musicals that they are in?
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[ "What", "are", "the", "names", "of", "actors", "and", "the", "musicals", "that", "they", "are", "in", "?" ]
musical
SELECT T1.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID WHERE T2.Name = "The Phantom of the Opera"
Show names of actors that have appeared in musical with name "The Phantom of the Opera".
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musical
SELECT T1.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID WHERE T2.Name = "The Phantom of the Opera"
What are the names of actors who have been in the musical titled The Phantom of the Opera?
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musical
SELECT T1.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID ORDER BY T2.Year DESC
Show names of actors in descending order of the year their musical is awarded.
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[ "Show", "names", "of", "actors", "in", "descending", "order", "of", "the", "year", "their", "musical", "is", "awarded", "." ]
musical
SELECT T1.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID ORDER BY T2.Year DESC
What are the names of actors ordered descending by the year in which their musical was awarded?
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[ "What", "are", "the", "names", "of", "actors", "ordered", "descending", "by", "the", "year", "in", "which", "their", "musical", "was", "awarded", "?" ]
musical
SELECT T2.Name , COUNT(*) FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID
Show names of musicals and the number of actors who have appeared in the musicals.
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[ "Show", "names", "of", "musicals", "and", "the", "number", "of", "actors", "who", "have", "appeared", "in", "the", "musicals", "." ]
musical
SELECT T2.Name , COUNT(*) FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID
How many actors have appeared in each musical?
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[ "How", "many", "actors", "have", "appeared", "in", "each", "musical", "?" ]
musical
SELECT T2.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID HAVING COUNT(*) >= 3
Show names of musicals which have at least three actors.
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[ "Show", "names", "of", "musicals", "which", "have", "at", "least", "three", "actors", "." ]
musical
SELECT T2.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID HAVING COUNT(*) >= 3
What are the names of musicals who have at 3 or more actors?
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musical
SELECT Nominee , COUNT(*) FROM musical GROUP BY Nominee
Show different nominees and the number of musicals they have been nominated.
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musical
SELECT Nominee , COUNT(*) FROM musical GROUP BY Nominee
How many musicals has each nominee been nominated for?
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[ "How", "many", "musicals", "has", "each", "nominee", "been", "nominated", "for", "?" ]
musical
SELECT Nominee FROM musical GROUP BY Nominee ORDER BY COUNT(*) DESC LIMIT 1
Please show the nominee who has been nominated the greatest number of times.
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musical
SELECT Nominee FROM musical GROUP BY Nominee ORDER BY COUNT(*) DESC LIMIT 1
Who is the nominee who has been nominated for the most musicals?
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musical
SELECT RESULT FROM musical GROUP BY RESULT ORDER BY COUNT(*) DESC LIMIT 1
List the most common result of the musicals.
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musical
SELECT RESULT FROM musical GROUP BY RESULT ORDER BY COUNT(*) DESC LIMIT 1
Return the most frequent result across all musicals.
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musical
SELECT Nominee FROM musical GROUP BY Nominee HAVING COUNT(*) > 2
List the nominees that have been nominated more than two musicals.
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musical
SELECT Nominee FROM musical GROUP BY Nominee HAVING COUNT(*) > 2
Who are the nominees who have been nominated more than two times?
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musical
SELECT Name FROM musical WHERE Musical_ID NOT IN (SELECT Musical_ID FROM actor)
List the name of musicals that do not have actors.
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[ "List", "the", "name", "of", "musicals", "that", "do", "not", "have", "actors", "." ]
musical
SELECT Name FROM musical WHERE Musical_ID NOT IN (SELECT Musical_ID FROM actor)
What are the names of musicals who have no actors?
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[ "What", "are", "the", "names", "of", "musicals", "who", "have", "no", "actors", "?" ]
musical
SELECT Nominee FROM musical WHERE Award = "Tony Award" INTERSECT SELECT Nominee FROM musical WHERE Award = "Drama Desk Award"
Show the nominees that have nominated musicals for both "Tony Award" and "Drama Desk Award".
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musical
SELECT Nominee FROM musical WHERE Award = "Tony Award" INTERSECT SELECT Nominee FROM musical WHERE Award = "Drama Desk Award"
Who are the nominees who have been nominated for both a Tony Award and a Drama Desk Award?
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musical
SELECT Nominee FROM musical WHERE Award = "Tony Award" OR Award = "Cleavant Derricks"
Show the musical nominee with award "Bob Fosse" or "Cleavant Derricks".
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musical
SELECT Nominee FROM musical WHERE Award = "Tony Award" OR Award = "Cleavant Derricks"
Who are the nominees who were nominated for either of the Bob Fosse or Cleavant Derricks awards?
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twitter_1
SELECT email FROM user_profiles WHERE name = 'Mary'
Find the emails of the user named "Mary".
[ "SELECT", "email", "FROM", "user_profiles", "WHERE", "name", "=", "'Mary", "'" ]
[ "select", "email", "from", "user_profiles", "where", "name", "=", "value" ]
[ "Find", "the", "emails", "of", "the", "user", "named", "``", "Mary", "''", "." ]
twitter_1
SELECT partitionid FROM user_profiles WHERE name = 'Iron Man'
What is the partition id of the user named "Iron Man".
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[ "select", "partitionid", "from", "user_profiles", "where", "name", "=", "value" ]
[ "What", "is", "the", "partition", "id", "of", "the", "user", "named", "``", "Iron", "Man", "''", "." ]
twitter_1
SELECT count(*) FROM user_profiles
How many users are there?
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[ "select", "count", "(", "*", ")", "from", "user_profiles" ]
[ "How", "many", "users", "are", "there", "?" ]
twitter_1
SELECT count(*) FROM follows
How many followers does each user have?
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[ "select", "count", "(", "*", ")", "from", "follows" ]
[ "How", "many", "followers", "does", "each", "user", "have", "?" ]
twitter_1
SELECT count(*) FROM follows GROUP BY f1
Find the number of followers for each user.
[ "SELECT", "count", "(", "*", ")", "FROM", "follows", "GROUP", "BY", "f1" ]
[ "select", "count", "(", "*", ")", "from", "follows", "group", "by", "value" ]
[ "Find", "the", "number", "of", "followers", "for", "each", "user", "." ]
twitter_1
SELECT count(*) FROM tweets
Find the number of tweets in record.
[ "SELECT", "count", "(", "*", ")", "FROM", "tweets" ]
[ "select", "count", "(", "*", ")", "from", "tweets" ]
[ "Find", "the", "number", "of", "tweets", "in", "record", "." ]
twitter_1
SELECT count(DISTINCT UID) FROM tweets
Find the number of users who posted some tweets.
[ "SELECT", "count", "(", "DISTINCT", "UID", ")", "FROM", "tweets" ]
[ "select", "count", "(", "distinct", "uid", ")", "from", "tweets" ]
[ "Find", "the", "number", "of", "users", "who", "posted", "some", "tweets", "." ]
twitter_1
SELECT name , email FROM user_profiles WHERE name LIKE '%Swift%'
Find the name and email of the user whose name contains the word ‘Swift’.
[ "SELECT", "name", ",", "email", "FROM", "user_profiles", "WHERE", "name", "LIKE", "'", "%", "Swift", "%", "'" ]
[ "select", "name", ",", "email", "from", "user_profiles", "where", "name", "like", "value" ]
[ "Find", "the", "name", "and", "email", "of", "the", "user", "whose", "name", "contains", "the", "word", "‘Swift’", "." ]
twitter_1
SELECT name FROM user_profiles WHERE email LIKE '%superstar%' OR email LIKE '%edu%'
Find the names of users whose emails contain ‘superstar’ or ‘edu’.
[ "SELECT", "name", "FROM", "user_profiles", "WHERE", "email", "LIKE", "'", "%", "superstar", "%", "'", "OR", "email", "LIKE", "'", "%", "edu", "%", "'" ]
[ "select", "name", "from", "user_profiles", "where", "email", "like", "value", "or", "email", "like", "value" ]
[ "Find", "the", "names", "of", "users", "whose", "emails", "contain", "‘superstar’", "or", "‘edu’", "." ]
twitter_1
SELECT text FROM tweets WHERE text LIKE '%intern%'
Return the text of tweets about the topic 'intern'.
[ "SELECT", "text", "FROM", "tweets", "WHERE", "text", "LIKE", "'", "%", "intern", "%", "'" ]
[ "select", "text", "from", "tweets", "where", "text", "like", "value" ]
[ "Return", "the", "text", "of", "tweets", "about", "the", "topic", "'intern", "'", "." ]
twitter_1
SELECT name , email FROM user_profiles WHERE followers > 1000
Find the name and email of the users who have more than 1000 followers.
[ "SELECT", "name", ",", "email", "FROM", "user_profiles", "WHERE", "followers", ">", "1000" ]
[ "select", "name", ",", "email", "from", "user_profiles", "where", "followers", ">", "value" ]
[ "Find", "the", "name", "and", "email", "of", "the", "users", "who", "have", "more", "than", "1000", "followers", "." ]
twitter_1
SELECT T1.name FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f1 GROUP BY T2.f1 HAVING count(*) > (SELECT count(*) FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f1 WHERE T1.name = 'Tyler Swift')
Find the names of the users whose number of followers is greater than that of the user named "Tyler Swift".
[ "SELECT", "T1.name", "FROM", "user_profiles", "AS", "T1", "JOIN", "follows", "AS", "T2", "ON", "T1.uid", "=", "T2.f1", "GROUP", "BY", "T2.f1", "HAVING", "count", "(", "*", ")", ">", "(", "SELECT", "count", "(", "*", ")", "FROM", "user_profiles", "AS", "T1", "JOIN", "follows", "AS", "T2", "ON", "T1.uid", "=", "T2.f1", "WHERE", "T1.name", "=", "'Tyler", "Swift", "'", ")" ]
[ "select", "t1", ".", "name", "from", "user_profiles", "as", "t1", "join", "follows", "as", "t2", "on", "t1", ".", "uid", "=", "t2", ".", "f1", "group", "by", "t2", ".", "f1", "having", "count", "(", "*", ")", ">", "(", "select", "count", "(", "*", ")", "from", "user_profiles", "as", "t1", "join", "follows", "as", "t2", "on", "t1", ".", "uid", "=", "t2", ".", "f1", "where", "t1", ".", "name", "=", "value", ")" ]
[ "Find", "the", "names", "of", "the", "users", "whose", "number", "of", "followers", "is", "greater", "than", "that", "of", "the", "user", "named", "``", "Tyler", "Swift", "''", "." ]
twitter_1
SELECT T1.name , T1.email FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f1 GROUP BY T2.f1 HAVING count(*) > 1
Find the name and email for the users who have more than one follower.
[ "SELECT", "T1.name", ",", "T1.email", "FROM", "user_profiles", "AS", "T1", "JOIN", "follows", "AS", "T2", "ON", "T1.uid", "=", "T2.f1", "GROUP", "BY", "T2.f1", "HAVING", "count", "(", "*", ")", ">", "1" ]
[ "select", "t1", ".", "name", ",", "t1", ".", "email", "from", "user_profiles", "as", "t1", "join", "follows", "as", "t2", "on", "t1", ".", "uid", "=", "t2", ".", "f1", "group", "by", "t2", ".", "f1", "having", "count", "(", "*", ")", ">", "value" ]
[ "Find", "the", "name", "and", "email", "for", "the", "users", "who", "have", "more", "than", "one", "follower", "." ]
twitter_1
SELECT T1.name FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid HAVING count(*) > 1
Find the names of users who have more than one tweet.
[ "SELECT", "T1.name", "FROM", "user_profiles", "AS", "T1", "JOIN", "tweets", "AS", "T2", "ON", "T1.uid", "=", "T2.uid", "GROUP", "BY", "T2.uid", "HAVING", "count", "(", "*", ")", ">", "1" ]
[ "select", "t1", ".", "name", "from", "user_profiles", "as", "t1", "join", "tweets", "as", "t2", "on", "t1", ".", "uid", "=", "t2", ".", "uid", "group", "by", "t2", ".", "uid", "having", "count", "(", "*", ")", ">", "value" ]
[ "Find", "the", "names", "of", "users", "who", "have", "more", "than", "one", "tweet", "." ]
twitter_1
SELECT T2.f1 FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f2 WHERE T1.name = "Mary" INTERSECT SELECT T2.f1 FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f2 WHERE T1.name = "Susan"
Find the id of users who are followed by Mary and Susan.
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[ "select", "t2", ".", "f1", "from", "user_profiles", "as", "t1", "join", "follows", "as", "t2", "on", "t1", ".", "uid", "=", "t2", ".", "f2", "where", "t1", ".", "name", "=", "value", "intersect", "select", "t2", ".", "f1", "from", "user_profiles", "as", "t1", "join", "follows", "as", "t2", "on", "t1", ".", "uid", "=", "t2", ".", "f2", "where", "t1", ".", "name", "=", "value" ]
[ "Find", "the", "id", "of", "users", "who", "are", "followed", "by", "Mary", "and", "Susan", "." ]
twitter_1
SELECT T2.f1 FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f2 WHERE T1.name = "Mary" OR T1.name = "Susan"
Find the id of users who are followed by Mary or Susan.
[ "SELECT", "T2.f1", "FROM", "user_profiles", "AS", "T1", "JOIN", "follows", "AS", "T2", "ON", "T1.uid", "=", "T2.f2", "WHERE", "T1.name", "=", "``", "Mary", "''", "OR", "T1.name", "=", "``", "Susan", "''" ]
[ "select", "t2", ".", "f1", "from", "user_profiles", "as", "t1", "join", "follows", "as", "t2", "on", "t1", ".", "uid", "=", "t2", ".", "f2", "where", "t1", ".", "name", "=", "value", "or", "t1", ".", "name", "=", "value" ]
[ "Find", "the", "id", "of", "users", "who", "are", "followed", "by", "Mary", "or", "Susan", "." ]
twitter_1
SELECT name FROM user_profiles ORDER BY followers DESC LIMIT 1
Find the name of the user who has the largest number of followers.
[ "SELECT", "name", "FROM", "user_profiles", "ORDER", "BY", "followers", "DESC", "LIMIT", "1" ]
[ "select", "name", "from", "user_profiles", "order", "by", "followers", "desc", "limit", "value" ]
[ "Find", "the", "name", "of", "the", "user", "who", "has", "the", "largest", "number", "of", "followers", "." ]
twitter_1
SELECT name , email FROM user_profiles ORDER BY followers LIMIT 1
Find the name and email of the user followed by the least number of people.
[ "SELECT", "name", ",", "email", "FROM", "user_profiles", "ORDER", "BY", "followers", "LIMIT", "1" ]
[ "select", "name", ",", "email", "from", "user_profiles", "order", "by", "followers", "limit", "value" ]
[ "Find", "the", "name", "and", "email", "of", "the", "user", "followed", "by", "the", "least", "number", "of", "people", "." ]
twitter_1
SELECT name , followers FROM user_profiles ORDER BY followers DESC
List the name and number of followers for each user, and sort the results by the number of followers in descending order.
[ "SELECT", "name", ",", "followers", "FROM", "user_profiles", "ORDER", "BY", "followers", "DESC" ]
[ "select", "name", ",", "followers", "from", "user_profiles", "order", "by", "followers", "desc" ]
[ "List", "the", "name", "and", "number", "of", "followers", "for", "each", "user", ",", "and", "sort", "the", "results", "by", "the", "number", "of", "followers", "in", "descending", "order", "." ]
twitter_1
SELECT name FROM user_profiles ORDER BY followers DESC LIMIT 5
List the names of 5 users followed by the largest number of other users.
[ "SELECT", "name", "FROM", "user_profiles", "ORDER", "BY", "followers", "DESC", "LIMIT", "5" ]
[ "select", "name", "from", "user_profiles", "order", "by", "followers", "desc", "limit", "value" ]
[ "List", "the", "names", "of", "5", "users", "followed", "by", "the", "largest", "number", "of", "other", "users", "." ]
twitter_1
SELECT text FROM tweets ORDER BY createdate
List the text of all tweets in the order of date.
[ "SELECT", "text", "FROM", "tweets", "ORDER", "BY", "createdate" ]
[ "select", "text", "from", "tweets", "order", "by", "createdate" ]
[ "List", "the", "text", "of", "all", "tweets", "in", "the", "order", "of", "date", "." ]
twitter_1
SELECT T1.name , count(*) FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid
Find the name of each user and number of tweets tweeted by each of them.
[ "SELECT", "T1.name", ",", "count", "(", "*", ")", "FROM", "user_profiles", "AS", "T1", "JOIN", "tweets", "AS", "T2", "ON", "T1.uid", "=", "T2.uid", "GROUP", "BY", "T2.uid" ]
[ "select", "t1", ".", "name", ",", "count", "(", "*", ")", "from", "user_profiles", "as", "t1", "join", "tweets", "as", "t2", "on", "t1", ".", "uid", "=", "t2", ".", "uid", "group", "by", "t2", ".", "uid" ]
[ "Find", "the", "name", "of", "each", "user", "and", "number", "of", "tweets", "tweeted", "by", "each", "of", "them", "." ]
twitter_1
SELECT T1.name , T1.partitionid FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid HAVING count(*) < 2
Find the name and partition id for users who tweeted less than twice.
[ "SELECT", "T1.name", ",", "T1.partitionid", "FROM", "user_profiles", "AS", "T1", "JOIN", "tweets", "AS", "T2", "ON", "T1.uid", "=", "T2.uid", "GROUP", "BY", "T2.uid", "HAVING", "count", "(", "*", ")", "<", "2" ]
[ "select", "t1", ".", "name", ",", "t1", ".", "partitionid", "from", "user_profiles", "as", "t1", "join", "tweets", "as", "t2", "on", "t1", ".", "uid", "=", "t2", ".", "uid", "group", "by", "t2", ".", "uid", "having", "count", "(", "*", ")", "<", "value" ]
[ "Find", "the", "name", "and", "partition", "id", "for", "users", "who", "tweeted", "less", "than", "twice", "." ]
twitter_1
SELECT T1.name , count(*) FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid HAVING count(*) > 1
Find the name of the user who tweeted more than once, and number of tweets tweeted by them.
[ "SELECT", "T1.name", ",", "count", "(", "*", ")", "FROM", "user_profiles", "AS", "T1", "JOIN", "tweets", "AS", "T2", "ON", "T1.uid", "=", "T2.uid", "GROUP", "BY", "T2.uid", "HAVING", "count", "(", "*", ")", ">", "1" ]
[ "select", "t1", ".", "name", ",", "count", "(", "*", ")", "from", "user_profiles", "as", "t1", "join", "tweets", "as", "t2", "on", "t1", ".", "uid", "=", "t2", ".", "uid", "group", "by", "t2", ".", "uid", "having", "count", "(", "*", ")", ">", "value" ]
[ "Find", "the", "name", "of", "the", "user", "who", "tweeted", "more", "than", "once", ",", "and", "number", "of", "tweets", "tweeted", "by", "them", "." ]
twitter_1
SELECT avg(followers) FROM user_profiles WHERE UID NOT IN (SELECT UID FROM tweets)
Find the average number of followers for the users who do not have any tweet.
[ "SELECT", "avg", "(", "followers", ")", "FROM", "user_profiles", "WHERE", "UID", "NOT", "IN", "(", "SELECT", "UID", "FROM", "tweets", ")" ]
[ "select", "avg", "(", "followers", ")", "from", "user_profiles", "where", "uid", "not", "in", "(", "select", "uid", "from", "tweets", ")" ]
[ "Find", "the", "average", "number", "of", "followers", "for", "the", "users", "who", "do", "not", "have", "any", "tweet", "." ]
twitter_1
SELECT avg(followers) FROM user_profiles WHERE UID IN (SELECT UID FROM tweets)
Find the average number of followers for the users who had some tweets.
[ "SELECT", "avg", "(", "followers", ")", "FROM", "user_profiles", "WHERE", "UID", "IN", "(", "SELECT", "UID", "FROM", "tweets", ")" ]
[ "select", "avg", "(", "followers", ")", "from", "user_profiles", "where", "uid", "in", "(", "select", "uid", "from", "tweets", ")" ]
[ "Find", "the", "average", "number", "of", "followers", "for", "the", "users", "who", "had", "some", "tweets", "." ]