NESPED-GEN/spider_base · Datasets at Hugging Face

bike_1

What are the dates that have an average sea level pressure between 30.3 and 31?

SELECT date FROM weather WHERE mean_sea_level_pressure_inches BETWEEN 30.3 AND 31

[{'date': '12/9/2013'}, {'date': '12/10/2013'}, {'date': '12/14/2013'}, {'date': '12/15/2013'}, {'date': '12/23/2013'}, {'date': '1/12/2014'}, {'date': '1/13/2014'}, {'date': '1/14/2014'}, {'date': '12/9/2013'}, {'date': '12/10/2013'}, {'date': '12/14/2013'}, {'date': '12/15/2013'}, {'date': '12/23/2013'}, {'date': '12/24/2013'}, {'date': '1/12/2014'}, {'date': '1/13/2014'}, {'date': '1/14/2014'}, {'date': '12/9/2013'}, {'date': '12/10/2013'}, {'date': '12/13/2013'}, {'date': '12/14/2013'}, {'date': '12/15/2013'}, {'date': '12/23/2013'}, {'date': '1/12/2014'}, {'date': '1/13/2014'}, {'date': '1/14/2014'}, {'date': '12/9/2013'}, {'date': '12/10/2013'}, {'date': '12/13/2013'}, {'date': '12/14/2013'}, {'date': '12/15/2013'}, {'date': '12/23/2013'}, {'date': '1/12/2014'}, {'date': '1/13/2014'}, {'date': '1/14/2014'}, {'date': '12/9/2013'}, {'date': '12/14/2013'}, {'date': '12/15/2013'}, {'date': '12/23/2013'}, {'date': '1/12/2014'}, {'date': '1/13/2014'}, {'date': '1/14/2014'}, {'date': '11/23/2014'}, {'date': '11/24/2014'}, {'date': '11/25/2014'}, {'date': '12/27/2014'}, {'date': '1/4/2015'}, {'date': '1/5/2015'}, {'date': '1/23/2015'}, {'date': '2/24/2015'}, {'date': '11/23/2014'}, {'date': '11/24/2014'}, {'date': '11/25/2014'}, {'date': '12/27/2014'}, {'date': '12/28/2014'}, {'date': '1/4/2015'}, {'date': '1/5/2015'}, {'date': '1/23/2015'}, {'date': '2/24/2015'}, {'date': '11/23/2014'}, {'date': '11/24/2014'}, {'date': '11/25/2014'}, {'date': '12/27/2014'}, {'date': '1/4/2015'}, {'date': '1/5/2015'}, {'date': '1/23/2015'}, {'date': '2/24/2015'}, {'date': '4/14/2015'}, {'date': '11/23/2014'}, {'date': '11/24/2014'}, {'date': '11/25/2014'}, {'date': '12/21/2014'}, {'date': '12/27/2014'}, {'date': '12/28/2014'}, {'date': '1/4/2015'}, {'date': '1/5/2015'}, {'date': '1/23/2015'}, {'date': '2/24/2015'}, {'date': '3/5/2015'}, {'date': '11/24/2014'}, {'date': '11/25/2014'}, {'date': '12/27/2014'}, {'date': '12/28/2014'}, {'date': '1/4/2015'}, {'date': '1/5/2015'}, {'date': '1/23/2015'}, {'date': '2/24/2015'}]

bike_1

Find the day in which the difference between the max temperature and min temperature was the smallest. Also report the difference.

SELECT date , max_temperature_f - min_temperature_f FROM weather ORDER BY max_temperature_f - min_temperature_f LIMIT 1

[{'date': '4/16/2015', 'max_temperature_f - min_temperature_f': 0}]

bike_1

What are the days that had the smallest temperature range, and what was that range?

SELECT date , max_temperature_f - min_temperature_f FROM weather ORDER BY max_temperature_f - min_temperature_f LIMIT 1

[{'date': '4/16/2015', 'max_temperature_f - min_temperature_f': 0}]

bike_1

What are the id and name of the stations that have ever had more than 12 bikes available?

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

[{'id': 45, 'name': 'Commercial at Montgomery'}, {'id': 48, 'name': 'Embarcadero at Vallejo'}, {'id': 56, 'name': 'Beale at Market'}, {'id': 57, 'name': '5th at Howard'}, {'id': 65, 'name': 'Townsend at 7th'}, {'id': 68, 'name': 'Yerba Buena Center of the Arts (3rd @ Howard)'}, {'id': 72, 'name': 'Civic Center BART (7th at Market)'}, {'id': 75, 'name': 'Mechanics Plaza (Market at Battery)'}, {'id': 77, 'name': 'Market at Sansome'}]

bike_1

What are the different ids and names of the stations that have had more than 12 bikes available?

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

[{'id': 45, 'name': 'Commercial at Montgomery'}, {'id': 48, 'name': 'Embarcadero at Vallejo'}, {'id': 56, 'name': 'Beale at Market'}, {'id': 57, 'name': '5th at Howard'}, {'id': 65, 'name': 'Townsend at 7th'}, {'id': 68, 'name': 'Yerba Buena Center of the Arts (3rd @ Howard)'}, {'id': 72, 'name': 'Civic Center BART (7th at Market)'}, {'id': 75, 'name': 'Mechanics Plaza (Market at Battery)'}, {'id': 77, 'name': 'Market at Sansome'}]

bike_1

Give me the zip code where the average mean humidity is below 70 and at least 100 trips took place.

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

[{'zip_code': 94107}]

bike_1

What are the zip codes that have an average mean humidity below 70 and had at least 100 trips come through there?

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

[{'zip_code': 94107}]

bike_1

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?

SELECT name FROM station WHERE city = "Palo Alto" EXCEPT SELECT end_station_name FROM trip GROUP BY end_station_name HAVING count(*) > 100

[{'name': 'California Ave Caltrain Station'}, {'name': 'Cowper at University'}, {'name': 'Palo Alto Caltrain Station'}, {'name': 'Park at Olive'}, {'name': 'University and Emerson'}]

bike_1

What are the names of the stations that are located in Palo Alto but have never been the ending point of the trips

SELECT name FROM station WHERE city = "Palo Alto" EXCEPT SELECT end_station_name FROM trip GROUP BY end_station_name HAVING count(*) > 100

[{'name': 'California Ave Caltrain Station'}, {'name': 'Cowper at University'}, {'name': 'Palo Alto Caltrain Station'}, {'name': 'Park at Olive'}, {'name': 'University and Emerson'}]

bike_1

How many trips started from Mountain View city and ended at Palo Alto city?

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"

[{'count(*)': 7}]

bike_1

How many trips stated from a station in Mountain View and ended at one in Palo Alto?

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"

[{'count(*)': 7}]

bike_1

What is the average latitude and longitude of the starting points of all trips?

SELECT avg(T1.lat) , avg(T1.long) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id

[{'avg(T1.lat)': 37.74618133538529, 'avg(T1.long)': -122.36134722346611}]

bike_1

What is the average latitude and longitude of all starting stations for the trips?

SELECT avg(T1.lat) , avg(T1.long) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id

[{'avg(T1.lat)': 37.74618133538529, 'avg(T1.long)': -122.36134722346611}]

book_2

How many books are there?

SELECT count(*) FROM book

[{'count(*)': 10}]

book_2

List the writers of the books in ascending alphabetical order.

SELECT Writer FROM book ORDER BY Writer ASC

[{'Writer': 'Christopher Hinz'}, {'Writer': 'Christopher Hinz'}, {'Writer': 'Christopher Moeller'}, {'Writer': 'Dave Gibbons'}, {'Writer': 'Elaine Lee'}, {'Writer': 'Garth Ennis'}, {'Writer': 'Garth Ennis'}, {'Writer': 'Howard Chaykin'}, {'Writer': 'Michael Moorcock'}, {'Writer': 'Timothy Truman'}]

book_2

List the titles of the books in ascending order of issues.

SELECT Title FROM book ORDER BY Issues ASC

[{'Title': 'The Dome: Ground Zero'}, {'Title': 'Bloody Mary'}, {'Title': 'Bloody Mary : Lady Liberty'}, {'Title': 'Dead Corps'}, {'Title': "Sheva's War"}, {'Title': 'The Black Lamb'}, {'Title': 'BrainBanx'}, {'Title': 'Gemini Blood'}, {'Title': 'Cyberella'}, {'Title': "Michael Moorcock's Multiverse"}]

book_2

What are the titles of the books whose writer is not "Elaine Lee"?

SELECT Title FROM book WHERE Writer != "Elaine Lee"

[{'Title': 'The Black Lamb'}, {'Title': 'Bloody Mary'}, {'Title': 'Bloody Mary : Lady Liberty'}, {'Title': 'Cyberella'}, {'Title': 'Dead Corps'}, {'Title': 'The Dome: Ground Zero'}, {'Title': 'Gemini Blood'}, {'Title': "Michael Moorcock's Multiverse"}, {'Title': "Sheva's War"}]

book_2

What are the title and issues of the books?

SELECT Title , Issues FROM book

[{'Title': 'The Black Lamb', 'Issues': 6.0}, {'Title': 'Bloody Mary', 'Issues': 4.0}, {'Title': 'Bloody Mary : Lady Liberty', 'Issues': 4.0}, {'Title': 'BrainBanx', 'Issues': 6.0}, {'Title': 'Cyberella', 'Issues': 12.0}, {'Title': 'Dead Corps', 'Issues': 4.0}, {'Title': 'The Dome: Ground Zero', 'Issues': 1.0}, {'Title': 'Gemini Blood', 'Issues': 9.0}, {'Title': "Michael Moorcock's Multiverse", 'Issues': 12.0}, {'Title': "Sheva's War", 'Issues': 5.0}]

book_2

What are the dates of publications in descending order of price?

SELECT Publication_Date FROM publication ORDER BY Price DESC

[{'Publication_Date': 'August 2008'}, {'Publication_Date': 'March 2008'}, {'Publication_Date': 'June 2006'}, {'Publication_Date': 'October 2005'}, {'Publication_Date': 'August 2008'}, {'Publication_Date': 'March 2007'}, {'Publication_Date': 'April 2007'}]

book_2

What are the distinct publishers of publications with price higher than 5000000?

SELECT DISTINCT Publisher FROM publication WHERE Price > 5000000

[{'Publisher': 'Pearson'}, {'Publisher': 'Thomson Reuters'}]

book_2

List the publisher of the publication with the highest price.

SELECT Publisher FROM publication ORDER BY Price DESC LIMIT 1

[{'Publisher': 'Pearson'}]

book_2

List the publication dates of publications with 3 lowest prices.

SELECT Publication_Date FROM publication ORDER BY Price ASC LIMIT 3

[{'Publication_Date': 'March 2007'}, {'Publication_Date': 'April 2007'}, {'Publication_Date': 'October 2005'}]

book_2

Show the title and publication dates of books.

SELECT T1.Title , T2.Publication_Date FROM book AS T1 JOIN publication AS T2 ON T1.Book_ID = T2.Book_ID

[{'Title': 'The Black Lamb', 'Publication_Date': 'August 2008'}, {'Title': 'Bloody Mary : Lady Liberty', 'Publication_Date': 'March 2008'}, {'Title': 'BrainBanx', 'Publication_Date': 'June 2006'}, {'Title': 'Cyberella', 'Publication_Date': 'October 2005'}, {'Title': 'The Dome: Ground Zero', 'Publication_Date': 'August 2008'}, {'Title': "Michael Moorcock's Multiverse", 'Publication_Date': 'March 2007'}, {'Title': "Sheva's War", 'Publication_Date': 'April 2007'}]

book_2

Show writers who have published a book with price more than 4000000.

SELECT T1.Writer FROM book AS T1 JOIN publication AS T2 ON T1.Book_ID = T2.Book_ID WHERE T2.Price > 4000000

[{'Writer': 'Timothy Truman'}, {'Writer': 'Garth Ennis'}, {'Writer': 'Elaine Lee'}]

book_2

Show the titles of books in descending order of publication price.

SELECT T1.Title FROM book AS T1 JOIN publication AS T2 ON T1.Book_ID = T2.Book_ID ORDER BY T2.Price DESC

[{'Title': 'The Black Lamb'}, {'Title': 'Bloody Mary : Lady Liberty'}, {'Title': 'BrainBanx'}, {'Title': 'Cyberella'}, {'Title': 'The Dome: Ground Zero'}, {'Title': "Michael Moorcock's Multiverse"}, {'Title': "Sheva's War"}]

book_2

Show publishers that have more than one publication.

SELECT Publisher FROM publication GROUP BY Publisher HAVING COUNT(*) > 1

[{'Publisher': 'Pearson'}, {'Publisher': 'Wiley'}]

book_2

Show different publishers together with the number of publications they have.

SELECT Publisher , COUNT(*) FROM publication GROUP BY Publisher

[{'Publisher': 'Bertelsmann', 'COUNT(*)': 1}, {'Publisher': 'Pearson', 'COUNT(*)': 2}, {'Publisher': 'Springer Nature', 'COUNT(*)': 1}, {'Publisher': 'Thomson Reuters', 'COUNT(*)': 1}, {'Publisher': 'Wiley', 'COUNT(*)': 2}]

book_2

Please show the most common publication date.

SELECT Publication_Date FROM publication GROUP BY Publication_Date ORDER BY COUNT(*) DESC LIMIT 1

[{'Publication_Date': 'August 2008'}]

book_2

List the writers who have written more than one book.

SELECT Writer FROM book GROUP BY Writer HAVING COUNT(*) > 1

[{'Writer': 'Christopher Hinz'}, {'Writer': 'Garth Ennis'}]

book_2

List the titles of books that are not published.

SELECT Title FROM book WHERE Book_ID NOT IN (SELECT Book_ID FROM publication)

[{'Title': 'Bloody Mary'}, {'Title': 'Dead Corps'}, {'Title': 'Gemini Blood'}]

book_2

Show the publishers that have publications with price higher than 10000000 and publications with price lower than 5000000.

SELECT Publisher FROM publication WHERE Price > 10000000 INTERSECT SELECT Publisher FROM publication WHERE Price < 5000000

[{'Publisher': 'Pearson'}]

book_2

What is the number of distinct publication dates?

SELECT COUNT (DISTINCT Publication_Date) FROM publication

[{'COUNT (DISTINCT Publication_Date)': 6}]

book_2

How many distinct publication dates are there in our record?

SELECT COUNT (DISTINCT Publication_Date) FROM publication

[{'COUNT (DISTINCT Publication_Date)': 6}]

book_2

Show the prices of publications whose publisher is either "Person" or "Wiley"

SELECT Price FROM publication WHERE Publisher = "Person" OR Publisher = "Wiley"

[{'Price': 4100000.0}, {'Price': 3000000.0}]

musical

How many actors are there?

SELECT count(*) FROM actor

[{'count(*)': 9}]

musical

Count the number of actors.

SELECT count(*) FROM actor

[{'count(*)': 9}]

musical

List the name of actors in ascending alphabetical order.

SELECT Name FROM actor ORDER BY Name ASC

[{'Name': 'Alan Fletcher'}, {'Name': 'Ian Smith'}, {'Name': 'Jackie Woodburne'}, {'Name': 'Kate Ritchie'}, {'Name': 'Lynne McGranger'}, {'Name': 'Ray Meagher'}, {'Name': 'Ryan Moloney'}, {'Name': 'Stefan Dennis'}, {'Name': 'Tom Oliver'}]

musical

What are the names of actors, ordered alphabetically?

SELECT Name FROM actor ORDER BY Name ASC

[{'Name': 'Alan Fletcher'}, {'Name': 'Ian Smith'}, {'Name': 'Jackie Woodburne'}, {'Name': 'Kate Ritchie'}, {'Name': 'Lynne McGranger'}, {'Name': 'Ray Meagher'}, {'Name': 'Ryan Moloney'}, {'Name': 'Stefan Dennis'}, {'Name': 'Tom Oliver'}]

musical

What are the characters and duration of actors?

SELECT Character , Duration FROM actor

[{'Character': 'Alf Stewart', 'Duration': '1988—'}, {'Character': 'Lou Carpenter', 'Duration': '1988, 1992—'}, {'Character': 'Irene Roberts', 'Duration': '1993—'}, {'Character': 'Sally Fletcher', 'Duration': '1988–2008, 2013'}, {'Character': 'Karl Kennedy', 'Duration': '1994—'}, {'Character': 'Susan Kennedy', 'Duration': '1994—'}, {'Character': 'Toadfish Rebecchi', 'Duration': '1995, 1996—'}, {'Character': 'Harold Bishop', 'Duration': '1987–1991, 1996–2009, 2011'}, {'Character': 'Paul Robinson', 'Duration': '1985–1992, 1993, 2004—'}]

musical

Return the characters and durations for each actor.

SELECT Character , Duration FROM actor

[{'Character': 'Alf Stewart', 'Duration': '1988—'}, {'Character': 'Lou Carpenter', 'Duration': '1988, 1992—'}, {'Character': 'Irene Roberts', 'Duration': '1993—'}, {'Character': 'Sally Fletcher', 'Duration': '1988–2008, 2013'}, {'Character': 'Karl Kennedy', 'Duration': '1994—'}, {'Character': 'Susan Kennedy', 'Duration': '1994—'}, {'Character': 'Toadfish Rebecchi', 'Duration': '1995, 1996—'}, {'Character': 'Harold Bishop', 'Duration': '1987–1991, 1996–2009, 2011'}, {'Character': 'Paul Robinson', 'Duration': '1985–1992, 1993, 2004—'}]

musical

List the name of actors whose age is not 20.

SELECT Name FROM actor WHERE Age != 20

[{'Name': 'Ray Meagher'}, {'Name': 'Tom Oliver'}, {'Name': 'Lynne McGranger'}, {'Name': 'Ryan Moloney'}, {'Name': 'Ian Smith'}, {'Name': 'Stefan Dennis'}]

musical

What are the names of actors who are not 20 years old?

SELECT Name FROM actor WHERE Age != 20

[{'Name': 'Ray Meagher'}, {'Name': 'Tom Oliver'}, {'Name': 'Lynne McGranger'}, {'Name': 'Ryan Moloney'}, {'Name': 'Ian Smith'}, {'Name': 'Stefan Dennis'}]

musical

What are the characters of actors in descending order of age?

SELECT Character FROM actor ORDER BY age DESC

[{'Character': 'Alf Stewart'}, {'Character': 'Lou Carpenter'}, {'Character': 'Irene Roberts'}, {'Character': 'Sally Fletcher'}, {'Character': 'Karl Kennedy'}, {'Character': 'Susan Kennedy'}, {'Character': 'Toadfish Rebecchi'}, {'Character': 'Harold Bishop'}, {'Character': 'Paul Robinson'}]

musical

Return the characters for actors, ordered by age descending.

SELECT Character FROM actor ORDER BY age DESC

[{'Character': 'Alf Stewart'}, {'Character': 'Lou Carpenter'}, {'Character': 'Irene Roberts'}, {'Character': 'Sally Fletcher'}, {'Character': 'Karl Kennedy'}, {'Character': 'Susan Kennedy'}, {'Character': 'Toadfish Rebecchi'}, {'Character': 'Harold Bishop'}, {'Character': 'Paul Robinson'}]

musical

What is the duration of the oldest actor?

SELECT Duration FROM actor ORDER BY Age DESC LIMIT 1

[{'Duration': '1988—'}]

musical

Return the duration of the actor with the greatest age.

SELECT Duration FROM actor ORDER BY Age DESC LIMIT 1

[{'Duration': '1988—'}]

musical

What are the names of musicals with nominee "Bob Fosse"?

SELECT Name FROM musical WHERE Nominee = "Bob Fosse"

[{'Name': 'The Phantom of the Opera'}, {'Name': 'Wicked'}, {'Name': 'West Side Story'}, {'Name': 'The Book of Mormon'}, {'Name': 'Chicago'}]

musical

Return the names of musicals who have the nominee Bob Fosse.

SELECT Name FROM musical WHERE Nominee = "Bob Fosse"

[{'Name': 'The Phantom of the Opera'}, {'Name': 'Wicked'}, {'Name': 'West Side Story'}, {'Name': 'The Book of Mormon'}, {'Name': 'Chicago'}]

musical

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"

[{'Nominee': 'Cleavant Derricks'}, {'Nominee': 'Bob Fosse'}]

musical

Return the different nominees of musicals that have an award that is not the Tony Award.

SELECT DISTINCT Nominee FROM musical WHERE Award != "Tony Award"

[{'Nominee': 'Cleavant Derricks'}, {'Nominee': 'Bob Fosse'}]

musical

Show names of actors and names of musicals they are in.

SELECT T1.Name , T2.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID

[{'Name': 'The Phantom of the Opera'}, {'Name': 'The Phantom of the Opera'}, {'Name': 'Les Misérables'}, {'Name': 'Les Misérables'}, {'Name': 'West Side Story'}, {'Name': 'The Book of Mormon'}, {'Name': 'The Book of Mormon'}, {'Name': 'The Book of Mormon'}, {'Name': 'The Book of Mormon'}]

musical

What are the names of actors and the musicals that they are in?

SELECT T1.Name , T2.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID

[{'Name': 'The Phantom of the Opera'}, {'Name': 'The Phantom of the Opera'}, {'Name': 'Les Misérables'}, {'Name': 'Les Misérables'}, {'Name': 'West Side Story'}, {'Name': 'The Book of Mormon'}, {'Name': 'The Book of Mormon'}, {'Name': 'The Book of Mormon'}, {'Name': 'The Book of Mormon'}]

musical

Show names of actors that have appeared in musical with name "The Phantom of the Opera".

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"

[{'Name': 'Ray Meagher'}, {'Name': 'Tom Oliver'}]

musical

What are the names of actors who have been in the musical titled The Phantom of the Opera?

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"

[{'Name': 'Ray Meagher'}, {'Name': 'Tom Oliver'}]

musical

Show names of actors in descending order of the year their musical is awarded.

SELECT T1.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID ORDER BY T2.Year DESC

[{'Name': 'Ray Meagher'}, {'Name': 'Tom Oliver'}, {'Name': 'Lynne McGranger'}, {'Name': 'Kate Ritchie'}, {'Name': 'Alan Fletcher'}, {'Name': 'Jackie Woodburne'}, {'Name': 'Ryan Moloney'}, {'Name': 'Ian Smith'}, {'Name': 'Stefan Dennis'}]

musical

What are the names of actors ordered descending by the year in which their musical was awarded?

SELECT T1.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID ORDER BY T2.Year DESC

[{'Name': 'Ray Meagher'}, {'Name': 'Tom Oliver'}, {'Name': 'Lynne McGranger'}, {'Name': 'Kate Ritchie'}, {'Name': 'Alan Fletcher'}, {'Name': 'Jackie Woodburne'}, {'Name': 'Ryan Moloney'}, {'Name': 'Ian Smith'}, {'Name': 'Stefan Dennis'}]

musical

Show names of musicals and the number of actors who have appeared in the musicals.

SELECT T2.Name , COUNT(*) FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID

[{'Name': 'The Phantom of the Opera', 'COUNT(*)': 2}, {'Name': 'Les Misérables', 'COUNT(*)': 2}, {'Name': 'West Side Story', 'COUNT(*)': 1}, {'Name': 'The Book of Mormon', 'COUNT(*)': 4}]

musical

How many actors have appeared in each 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

[{'Name': 'The Phantom of the Opera', 'COUNT(*)': 2}, {'Name': 'Les Misérables', 'COUNT(*)': 2}, {'Name': 'West Side Story', 'COUNT(*)': 1}, {'Name': 'The Book of Mormon', 'COUNT(*)': 4}]

musical

Show names of musicals which have at least three actors.

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

[{'Name': 'The Book of Mormon'}]

musical

What are the names of musicals who have at 3 or more actors?

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

[{'Name': 'The Book of Mormon'}]

musical

Show different nominees and the number of musicals they have been nominated.

SELECT Nominee , COUNT(*) FROM musical GROUP BY Nominee

[{'Nominee': 'Bob Fosse', 'COUNT(*)': 5}, {'Nominee': 'Cleavant Derricks', 'COUNT(*)': 2}]

musical

How many musicals has each nominee been nominated for?

SELECT Nominee , COUNT(*) FROM musical GROUP BY Nominee

[{'Nominee': 'Bob Fosse', 'COUNT(*)': 5}, {'Nominee': 'Cleavant Derricks', 'COUNT(*)': 2}]

musical

Please show the nominee who has been nominated the greatest number of times.

SELECT Nominee FROM musical GROUP BY Nominee ORDER BY COUNT(*) DESC LIMIT 1

[{'Nominee': 'Bob Fosse'}]

musical

Who is the nominee who has been nominated for the most musicals?

SELECT Nominee FROM musical GROUP BY Nominee ORDER BY COUNT(*) DESC LIMIT 1

[{'Nominee': 'Bob Fosse'}]

musical

List the most common result of the musicals.

SELECT RESULT FROM musical GROUP BY RESULT ORDER BY COUNT(*) DESC LIMIT 1

[{'Result': 'Nominated'}]

musical

Return the most frequent result across all musicals.

SELECT RESULT FROM musical GROUP BY RESULT ORDER BY COUNT(*) DESC LIMIT 1

[{'Result': 'Nominated'}]

musical

List the nominees that have been nominated more than two musicals.

SELECT Nominee FROM musical GROUP BY Nominee HAVING COUNT(*) > 2

[{'Nominee': 'Bob Fosse'}]

musical

Who are the nominees who have been nominated more than two times?

SELECT Nominee FROM musical GROUP BY Nominee HAVING COUNT(*) > 2

[{'Nominee': 'Bob Fosse'}]

musical

List the name of musicals that do not have actors.

SELECT Name FROM musical WHERE Musical_ID NOT IN (SELECT Musical_ID FROM actor)

[{'Name': 'Wicked'}, {'Name': 'Rent'}, {'Name': 'Chicago'}]

musical

What are the names of musicals who have no actors?

SELECT Name FROM musical WHERE Musical_ID NOT IN (SELECT Musical_ID FROM actor)

[{'Name': 'Wicked'}, {'Name': 'Rent'}, {'Name': 'Chicago'}]

musical

Show the nominees that have nominated musicals for both "Tony Award" and "Drama Desk Award".

SELECT Nominee FROM musical WHERE Award = "Tony Award" INTERSECT SELECT Nominee FROM musical WHERE Award = "Drama Desk Award"

[{'Nominee': 'Bob Fosse'}, {'Nominee': 'Cleavant Derricks'}]

musical

Who are the nominees who have been nominated for both a Tony Award and a Drama Desk Award?

SELECT Nominee FROM musical WHERE Award = "Tony Award" INTERSECT SELECT Nominee FROM musical WHERE Award = "Drama Desk Award"

[{'Nominee': 'Bob Fosse'}, {'Nominee': 'Cleavant Derricks'}]

musical

Show the musical nominee with award "Bob Fosse" or "Cleavant Derricks".

SELECT Nominee FROM musical WHERE Award = "Tony Award" OR Award = "Cleavant Derricks"

[{'Nominee': 'Bob Fosse'}, {'Nominee': 'Cleavant Derricks'}, {'Nominee': 'Bob Fosse'}, {'Nominee': 'Bob Fosse'}]

musical

Who are the nominees who were nominated for either of the Bob Fosse or Cleavant Derricks awards?

SELECT Nominee FROM musical WHERE Award = "Tony Award" OR Award = "Cleavant Derricks"

[{'Nominee': 'Bob Fosse'}, {'Nominee': 'Cleavant Derricks'}, {'Nominee': 'Bob Fosse'}, {'Nominee': 'Bob Fosse'}]

twitter_1

Find the emails of the user named "Mary".

SELECT email FROM user_profiles WHERE name = 'Mary'

[{'email': '[email protected]'}]

twitter_1

What is the partition id of the user named "Iron Man".

SELECT partitionid FROM user_profiles WHERE name = 'Iron Man'

[{'partitionid': 1}]

twitter_1

How many users are there?

SELECT count(*) FROM user_profiles

[{'count(*)': 7}]

twitter_1

How many followers does each user have?

SELECT count(*) FROM follows

[{'count(*)': 9}]

twitter_1

Find the number of followers for each user.

SELECT count(*) FROM follows GROUP BY f1

[{'count(*)': 3}, {'count(*)': 1}, {'count(*)': 2}, {'count(*)': 2}, {'count(*)': 1}]

twitter_1

Find the number of tweets in record.

SELECT count(*) FROM tweets

[{'count(*)': 8}]

twitter_1

Find the number of users who posted some tweets.

SELECT count(DISTINCT UID) FROM tweets

[{'count(DISTINCT UID)': 5}]

twitter_1

Find the name and email of the user whose name contains the word ‘Swift’.

SELECT name , email FROM user_profiles WHERE name LIKE '%Swift%'

[{'name': 'Tyler Swift', 'email': '[email protected]\n'}]

twitter_1

Find the names of users whose emails contain ‘superstar’ or ‘edu’.

SELECT name FROM user_profiles WHERE email LIKE '%superstar%' OR email LIKE '%edu%'

[{'name': 'Mary'}, {'name': 'Tyler Swift'}, {'name': 'Celine Dion'}, {'name': 'Natalie Portman'}]

twitter_1

Return the text of tweets about the topic 'intern'.

SELECT text FROM tweets WHERE text LIKE '%intern%'

[{'text': 'My company is hiring interns.'}]

twitter_1

Find the name and email of the users who have more than 1000 followers.

SELECT name , email FROM user_profiles WHERE followers > 1000

[{'name': 'Iron Man', 'email': '[email protected]'}, {'name': 'Black Widow\n', 'email': '[email protected]'}, {'name': 'Tyler Swift', 'email': '[email protected]\n'}, {'name': 'Celine Dion', 'email': '[email protected]'}, {'name': 'Natalie Portman', 'email': '[email protected]'}]

twitter_1

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')

[{'name': 'Iron Man'}]

twitter_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

[{'name': 'Iron Man', 'email': '[email protected]'}, {'name': 'Black Widow\n', 'email': '[email protected]'}, {'name': 'Tyler Swift', 'email': '[email protected]\n'}]

twitter_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

[{'name': 'Iron Man'}, {'name': 'Susan'}, {'name': 'Celine Dion'}]

twitter_1

Find the id of users who are followed by Mary and Susan.

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"

[{'Nenhum': 'Nenhum resultado encontrado'}]

twitter_1

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"

[{'f1': 1}, {'f1': 3}]

twitter_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

[{'name': 'Tyler Swift'}]

twitter_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

[{'name': 'Susan', 'email': '[email protected]\n'}]

twitter_1

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

[{'name': 'Tyler Swift', 'followers': 99999998}, {'name': 'Natalie Portman', 'followers': 94375428}, {'name': 'Black Widow\n', 'followers': 35425845}, {'name': 'Celine Dion', 'followers': 23927492}, {'name': 'Iron Man', 'followers': 6662425}, {'name': 'Mary', 'followers': 890}, {'name': 'Susan', 'followers': 100}]

twitter_1

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

[{'name': 'Tyler Swift'}, {'name': 'Natalie Portman'}, {'name': 'Black Widow\n'}, {'name': 'Celine Dion'}, {'name': 'Iron Man'}]

twitter_1

List the text of all tweets in the order of date.

SELECT text FROM tweets ORDER BY createdate

[{'text': "Hello I'm Tony Stark."}, {'text': 'Today I have went shopping at Laffayette.'}, {'text': 'My company is hiring interns.'}, {'text': 'Oh, I only have a few fans.'}, {'text': 'Let’s celebrate women, fight for equality and support each other, not just today, but everyday!'}, {'text': 'I love my new boyfriend.'}, {'text': "I feel tired and don't want to write SQLs."}, {'text': 'I had a pretty rough time during the last couple of weeks'}]

twitter_1

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

[{'name': 'Iron Man', 'count(*)': 2}, {'name': 'Black Widow\n', 'count(*)': 1}, {'name': 'Susan', 'count(*)': 2}, {'name': 'Tyler Swift', 'count(*)': 1}, {'name': 'Celine Dion', 'count(*)': 2}]

twitter_1

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

[{'name': 'Black Widow\n', 'partitionid': 23}, {'name': 'Tyler Swift', 'partitionid': 10}]

twitter_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

[{'name': 'Iron Man', 'count(*)': 2}, {'name': 'Susan', 'count(*)': 2}, {'name': 'Celine Dion', 'count(*)': 2}]

twitter_1

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)

[{'avg(followers)': 47188159.0}]

twitter_1

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)

[{'avg(followers)': 33203172.0}]