input stringlengths 122 2.7k | output stringlengths 24 805 |
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[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode ... | SELECT DISTINCT T2.Issue FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.sex = 'Male' AND T1.age < 25; |
[INST] Here is a database schema:
state :
StateCode [ TEXT ] primary_key
State [ TEXT ]
Region [ TEXT ]
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Prod... | SELECT DISTINCT T3.Product FROM state AS T1 INNER JOIN district AS T2 ON T1.StateCode = T2.state_abbrev INNER JOIN reviews AS T3 ON T2.district_id = T3.district_id WHERE T1.Region = 'Midwest' AND T3.Stars = 1; |
[INST] Please write me a SQL statement that answers the following question: List the products involved in the complaints received on March 2017 via TOVA server. [/INST] [/INST] | SELECT DISTINCT T2.Product FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T1.server = 'TOVA' AND T2.`Date received` LIKE '2017-03%'; |
[INST] Here is a database schema:
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.di... | SELECT T1.division FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T2.Stars = 5 AND T2.Date = '2017-12-17' AND T2.Product = 'Eagle National Mortgage'; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode ... | SELECT T1.phone FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Product = 'Credit card' ORDER BY T1.age DESC LIMIT 1; |
[INST] Please write me a SQL statement that answers the following question: In complaints received in 2014, how many of them were submitted via call? [/INST] [/INST] | SELECT COUNT(T2.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.`Submitted via` = 'Phone' AND strftime('%Y', T1.`Date received`) = '2014'; |
[INST] Here is a database schema:
client :
client_id [ TEXT ] primary_key
sex [ TEXT ]
day [ INTEGER ]
month [ INTEGER ]
year [ INTEGER ]
age [ INTEGER ]
social [ TEXT ]
first [ TEXT ]
middle [ TEXT ]
last [ TEXT ]
phone [ TEXT ]
email [ TEXT ]
address_1 [ TEXT ]
address_2 [ TEXT ]
city [ TEXT ]
state [ TEXT ]
zipcode ... | SELECT DISTINCT T2.Product, T2.Issue FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.age * 100 > ( SELECT AVG(age) * 60 FROM client ); |
[INST] Here is a database schema:
district :
district_id [ INTEGER ] primary_key
city [ TEXT ]
state_abbrev [ TEXT ] district.state_abbrev = state.StateCode
division [ TEXT ]
reviews :
Date [ DATE ] primary_key
Stars [ INTEGER ]
Reviews [ TEXT ]
Product [ TEXT ]
district_id [ INTEGER ] reviews.district_id = district.di... | SELECT CAST(SUM(CASE WHEN T1.division = 'East North Central' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.division) FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T2.Stars = 5; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
productio... | SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T3.title = 'Four Rooms'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
productio... | SELECT COUNT(CNAME) FROM ( SELECT T1.company_name AS CNAME FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T3.title = 'Four Rooms' ); |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
productio... | SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Universal Pictures'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
productio... | SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Universal Pictures' ORDER BY T3.release_date DESC LIMIT 1; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
person :
... | SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T2.job = 'Director of Photography'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
person :
... | SELECT T2.job FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T3.person_name = 'Dariusz Wolski'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
person :
... | SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
person :
... | SELECT COUNT(T3.person_id) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T2.job = 'Producer'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
person :
... | SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title LIKE 'Pirates of the Caribbean: At World%s End' AND T2.job = 'Producer'; |
[INST] Here is a database schema:
person :
person_id [ INTEGER ] primary_key
person_name [ TEXT ]
movie_crew :
movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id
person_id [ INTEGER ] movie_crew.person_id = person.person_id
department_id [ INTEGER ] movie_crew.department_id = department.department_id
job [ TEXT ... | SELECT COUNT(T2.movie_id) FROM person AS T1 INNER JOIN movie_crew AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Dariusz Wolski' AND T2.job = 'Director of Photography'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
person :
... | SELECT T1.title FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Dariusz Wolski' AND T2.job = 'Director of Photography' ORDER BY T1.vote_average DESC LIMIT 1; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
person :
... | SELECT T1.release_date FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Dariusz Wolski' ORDER BY T1.release_date DESC LIMIT 1; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
person :
... | SELECT CAST(COUNT(CASE WHEN T1.vote_average > 5 THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T1.vote_average) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Dariusz Wolski' AND T2.job = 'Director of Photography'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
person :
... | SELECT CAST(SUM(T1.revenue) AS REAL) / COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Dariusz Wolski' AND T2.job = 'Director of Photography'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
Please w... | SELECT title FROM movie WHERE revenue = 559852396; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
person :
... | SELECT T2.job FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'David Rubin' AND T1.title = 'Days of Thunder'; |
[INST] Here is a database schema:
person :
person_id [ INTEGER ] primary_key
person_name [ TEXT ]
movie_crew :
movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id
person_id [ INTEGER ] movie_crew.person_id = person.person_id
department_id [ INTEGER ] movie_crew.department_id = department.department_id
job [ TEXT ... | SELECT COUNT(T2.movie_id) FROM person AS T1 INNER JOIN movie_crew AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Michael Bay' AND T2.job = 'Director'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
movie_key... | SELECT COUNT(T2.keyword_id) FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'I Hope They Serve Beer in Hell'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
person :
... | SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title = 'Land of the Dead' AND T2.job = 'Director'; |
[INST] Here is a database schema:
production_company :
company_id [ INTEGER ] primary_key
company_name [ TEXT ]
movie_company :
movie_id [ INTEGER ]
company_id [ INTEGER ]
Please write me a SQL statement that answers the following question: Tell the number of movies made by Paramount Animation. [/INST] [/INST] | SELECT COUNT(T2.movie_id) FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id WHERE T1.company_name = 'Paramount Animation'; |
[INST] Here is a database schema:
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TE... | SELECT COUNT(*) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T2.gender_id = T3.gender_id WHERE T1.title = 'Spider-Man 3' AND T3.gender = 'Female'; |
[INST] Here is a database schema:
keyword :
keyword_id [ INTEGER ] primary_key
keyword_name [ TEXT ]
movie_keywords :
movie_id [ INTEGER ]
keyword_id [ INTEGER ]
Please write me a SQL statement that answers the following question: Provide the most used keyword in the movies. [/INST] [/INST] | SELECT T1.keyword_name FROM keyword AS T1 INNER JOIN movie_keywords AS T2 ON T1.keyword_id = T2.keyword_id GROUP BY T1.keyword_name ORDER BY COUNT(T1.keyword_name) DESC LIMIT 1; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
movie_cre... | SELECT COUNT(T2.person_id) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'The Amityville Horror' AND T2.job = 'Producer'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
productio... | SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T3.title = 'Crazy Heart'; |
[INST] Here is a database schema:
keyword :
keyword_id [ INTEGER ] primary_key
keyword_name [ TEXT ]
movie_keywords :
movie_id [ INTEGER ]
keyword_id [ INTEGER ]
Please write me a SQL statement that answers the following question: Give the number of movies with "saving the world" as the keyword. [/INST] [/INST] | SELECT COUNT(T2.movie_id) FROM keyword AS T1 INNER JOIN movie_keywords AS T2 ON T1.keyword_id = T2.keyword_id WHERE keyword_name = 'saving the world'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
productio... | SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Cruel and Unusual Films' ORDER BY T3.popularity DESC LIMIT 1; |
[INST] Here is a database schema:
department :
department_id [ INTEGER ] primary_key
department_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TE... | SELECT T4.department_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id INNER JOIN department AS T4 ON T2.department_id = T4.department_id WHERE T3.person_name = 'Marcia Ross' AND T1.title = 'Reign of Fire'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
person :
... | SELECT CAST(SUM(T1.budget) AS REAL) / COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Jaume Collet-Serra' AND T2.job = 'Director'; |
[INST] Here is a database schema:
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TE... | SELECT CAST(COUNT(CASE WHEN T3.gender = 'Male' THEN 1 ELSE NULL END) AS REAL) * 100 / COUNT(T3.gender) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T2.gender_id = T3.gender_id WHERE T1.title = 'Bride Wars'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
Please w... | SELECT title FROM movie ORDER BY budget DESC LIMIT 1; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
Please w... | SELECT COUNT(movie_id) FROM movie WHERE revenue > 1000000000; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
Please w... | SELECT MIN(release_date) FROM movie WHERE movie_status = 'Released'; |
[INST] Here is a database schema:
person :
person_id [ INTEGER ] primary_key
person_name [ TEXT ]
Please write me a SQL statement that answers the following question: How many crew are named John Young? [/INST] [/INST] | SELECT COUNT(person_id) FROM person WHERE person_name = 'John Young'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
Please w... | SELECT title FROM movie ORDER BY popularity DESC LIMIT 1; |
[INST] Here is a database schema:
person :
person_id [ INTEGER ] primary_key
person_name [ TEXT ]
Please write me a SQL statement that answers the following question: Who is the person associated with the crew id 1325273? [/INST] [/INST] | SELECT person_name FROM person WHERE person_id = 1325273; |
[INST] Here is a database schema:
production_company :
company_id [ INTEGER ] primary_key
company_name [ TEXT ]
movie_company :
movie_id [ INTEGER ]
company_id [ INTEGER ]
Please write me a SQL statement that answers the following question: What is the name of the production company that made the most movies? [/INST] ... | SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id GROUP BY T1.company_id ORDER BY COUNT(T2.movie_id) DESC LIMIT 1; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
person :
... | SELECT DISTINCT T3.person_name FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T2.character_name = 'Captain Jack Sparrow' AND T1.title LIKE 'Pirates of the Caribbean%'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
productio... | SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Walt Disney Pictures' ORDER BY T3.popularity DESC LIMIT 1; |
[INST] Here is a database schema:
production_company :
company_id [ INTEGER ] primary_key
company_name [ TEXT ]
movie_company :
movie_id [ INTEGER ]
company_id [ INTEGER ]
Please write me a SQL statement that answers the following question: How many movies did Universal Studios release? [/INST] [/INST] | SELECT COUNT(T2.movie_id) FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id WHERE T1.company_name = 'Universal Studios'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
productio... | SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id GROUP BY T1.company_id ORDER BY SUM(T3.revenue) DESC LIMIT 1; |
[INST] Here is a database schema:
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TE... | SELECT COUNT(T3.gender) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender AS T3 ON T2.gender_id = T3.gender_id WHERE T1.title = 'Mr. Smith Goes to Washington' AND T3.gender = 'Female'; |
[INST] Here is a database schema:
production_company :
company_id [ INTEGER ] primary_key
company_name [ TEXT ]
movie_company :
movie_id [ INTEGER ]
company_id [ INTEGER ]
Please write me a SQL statement that answers the following question: List the names of the production companies that made at least 200 movies. [/IN... | SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id GROUP BY T1.company_id HAVING COUNT(T2.movie_id) > 200; |
[INST] Here is a database schema:
person :
person_id [ INTEGER ] primary_key
person_name [ TEXT ]
movie_cast :
movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id
person_id [ INTEGER ] movie_cast.person_id = person.person_id
character_name [ TEXT ]
gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id
cas... | SELECT COUNT(T2.movie_id) FROM person AS T1 INNER JOIN movie_cast AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Harrison Ford'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
person :
... | SELECT T1.title FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Jamie Foxx' ORDER BY T1.release_date DESC LIMIT 1; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
person :
... | SELECT COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Quentin Tarantino' AND CAST(STRFTIME('%Y', T1.release_date) AS INT) = 1995; |
[INST] Here is a database schema:
genre :
genre_id [ INTEGER ] primary_key
genre_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ ... | SELECT T1.title FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T3.genre_name = 'Crime' ORDER BY T1.release_date LIMIT 1; |
[INST] Here is a database schema:
genre :
genre_id [ INTEGER ] primary_key
genre_name [ TEXT ]
movie_genres :
movie_id [ INTEGER ] movie_genres.movie_id = movie.movie_id
genre_id [ INTEGER ] movie_genres.genre_id = genre.genre_id
Please write me a SQL statement that answers the following question: How many horror movi... | SELECT COUNT(T1.movie_id) FROM movie_genres AS T1 INNER JOIN genre AS T2 ON T1.genre_id = T2.genre_id WHERE T2.genre_name = 'Horror'; |
[INST] Here is a database schema:
movie_crew :
movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id
person_id [ INTEGER ] movie_crew.person_id = person.person_id
department_id [ INTEGER ] movie_crew.department_id = department.department_id
job [ TEXT ]
Please write me a SQL statement that answers the following qu... | SELECT person_id FROM movie_crew WHERE movie_id = 12 AND job = 'Second Film Editor'; |
[INST] Here is a database schema:
movie_crew :
movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id
person_id [ INTEGER ] movie_crew.person_id = person.person_id
department_id [ INTEGER ] movie_crew.department_id = department.department_id
job [ TEXT ]
Please write me a SQL statement that answers the following qu... | SELECT COUNT(movie_id) FROM movie_crew WHERE movie_id = 129 AND job = 'Animation'; |
[INST] Here is a database schema:
movie_crew :
movie_id [ INTEGER ] movie_crew.movie_id = movie.movie_id
person_id [ INTEGER ] movie_crew.person_id = person.person_id
department_id [ INTEGER ] movie_crew.department_id = department.department_id
job [ TEXT ]
Please write me a SQL statement that answers the following qu... | SELECT COUNT(DISTINCT job) FROM movie_crew WHERE movie_id = 19 AND department_id = 7; |
[INST] Here is a database schema:
movie_cast :
movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id
person_id [ INTEGER ] movie_cast.person_id = person.person_id
character_name [ TEXT ]
gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id
cast_order [ INTEGER ]
Please write me a SQL statement that answer... | SELECT person_id, character_name FROM movie_cast WHERE movie_id = 285 AND cast_order BETWEEN 1 AND 10; |
[INST] Here is a database schema:
person :
person_id [ INTEGER ] primary_key
person_name [ TEXT ]
movie_cast :
movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id
person_id [ INTEGER ] movie_cast.person_id = person.person_id
character_name [ TEXT ]
gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id
cas... | SELECT COUNT(T2.movie_id) FROM person AS T1 INNER JOIN movie_cast AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Bob Peterson'; |
[INST] Here is a database schema:
person :
person_id [ INTEGER ] primary_key
person_name [ TEXT ]
movie_cast :
movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id
person_id [ INTEGER ] movie_cast.person_id = person.person_id
character_name [ TEXT ]
gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id
cas... | SELECT T2.movie_id, T2.character_name FROM person AS T1 INNER JOIN movie_cast AS T2 ON T1.person_id = T2.person_id WHERE T1.person_name = 'Jim Carrey'; |
[INST] Here is a database schema:
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
person :
person_id [ INTEGER ] primary_key
person_name [ TEXT ]
movie_cast :
movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id
person_id [ INTEGER ] movie_cast.person_id = person.person_id
character_name [ TEXT ]
gender... | SELECT T2.person_name FROM movie_cast AS T1 INNER JOIN person AS T2 ON T1.person_id = T2.person_id INNER JOIN gender AS T3 ON T1.gender_id = T3.gender_id WHERE T1.movie_id = 1865 AND T3.gender = 'Female'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
person :
... | SELECT T1.title FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Jim Carrey'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
person :
... | SELECT T2.person_name FROM movie_cast AS T1 INNER JOIN person AS T2 ON T1.person_id = T2.person_id INNER JOIN movie AS T3 ON T1.movie_id = T3.movie_id INNER JOIN movie_crew AS T4 ON T1.movie_id = T4.movie_id WHERE T4.job = 'Director' AND T3.release_date BETWEEN '1916-01-01' AND '1925-12-31'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
person :
... | SELECT COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T3.person_name = 'Uma Thurman' AND T1.release_date BETWEEN '1990-01-01' AND '2000-12-31'; |
[INST] Here is a database schema:
genre :
genre_id [ INTEGER ] primary_key
genre_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ ... | SELECT T1.title FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T3.genre_name = 'Horror' AND vote_average > 7; |
[INST] Here is a database schema:
genre :
genre_id [ INTEGER ] primary_key
genre_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ ... | SELECT T3.genre_name, T1.popularity FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T1.revenue > 120000000 AND T1.release_date BETWEEN '2012-01-01' AND '2015-12-31'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
productio... | SELECT COUNT(T2.movie_id) FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id WHERE T1.revenue > 75000000 AND T1.popularity >= 20 AND T1.release_date BETWEEN '1990-01-01' AND '2003-12-31'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
... | SELECT T1.title, T1.revenue, T3.COUNTry_name FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id ORDER BY T1.budget DESC LIMIT 1; |
[INST] Here is a database schema:
language :
language_id [ INTEGER ] primary_key
language_code [ TEXT ]
language_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
... | SELECT T1.title FROM movie AS T1 INNER JOIN movie_languages AS T2 ON T1.movie_id = T2.movie_id INNER JOIN language AS T3 ON T2.language_id = T3.language_id WHERE T3.language_name = 'Latin' AND T1.release_date BETWEEN '1990-01-01' AND '1995-12-31'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
... | SELECT AVG(T1.revenue) FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id WHERE T3.COUNTry_name = 'United States of America' AND CAST(STRFTIME('%Y', T1.release_date) AS INT) = 2006; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
... | SELECT AVG(CASE WHEN T3.COUNTry_name = 'United States of America' THEN T1.revenue END) - AVG(CASE WHEN T3.COUNTry_name = 'India' THEN T1.revenue END) AS CALCULATE FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id WHERE CAST(STRFTI... |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
r... | SELECT CAST(COUNT(CASE WHEN T4.genre_name = 'Romance' THEN T1.movie_id ELSE NULL END) AS REAL) * 100 / COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN production_COUNTry AS T3 ON T1.movie_id = T3.movie_id INNER JOIN genre AS T4 ON T2.genre_id = T4.genre_id INNER... |
[INST] Here is a database schema:
person :
person_id [ INTEGER ] primary_key
person_name [ TEXT ]
movie_cast :
movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id
person_id [ INTEGER ] movie_cast.person_id = person.person_id
character_name [ TEXT ]
gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id
cas... | SELECT DISTINCT T1.person_name FROM person AS T1 INNER JOIN movie_cast AS T2 ON T1.person_id = T2.person_id WHERE T2.character_name = 'Optimus Prime (voice)'; |
[INST] Here is a database schema:
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
movie_cast :
movie_id [ INTEGER ] movie_cast.movie_id = movie.movie_id
person_id [ INTEGER ] movie_cast.person_id = person.person_id
character_name [ TEXT ]
gender_id [ INTEGER ] movie_cast.gender_id = gender.gender_id
cast_ord... | SELECT T2.gender FROM movie_cast AS T1 INNER JOIN gender AS T2 ON T1.gender_id = T2.gender_id WHERE T1.character_name = 'USAF Master Sgt. Epps'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
productio... | SELECT T1.company_name FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T3.title = 'Ultramarines: A Warhammer 40,000 Movie'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
productio... | SELECT T3.title FROM production_company AS T1 INNER JOIN movie_company AS T2 ON T1.company_id = T2.company_id INNER JOIN movie AS T3 ON T2.movie_id = T3.movie_id WHERE T1.company_name = 'Radiant Film GmbH'; |
[INST] Here is a database schema:
genre :
genre_id [ INTEGER ] primary_key
genre_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ ... | SELECT T3.genre_name FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T1.title = 'Sky Captain and the World of Tomorrow'; |
[INST] Here is a database schema:
keyword :
keyword_id [ INTEGER ] primary_key
keyword_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagl... | SELECT T3.keyword_name FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id WHERE T1.title = 'Sky Captain and the World of Tomorrow'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
... | SELECT T3.COUNTry_name FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id WHERE T1.title = 'Gojira ni-sen mireniamu'; |
[INST] Here is a database schema:
keyword :
keyword_id [ INTEGER ] primary_key
keyword_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagl... | SELECT T1.title FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id WHERE T3.keyword_name = 'extremis'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
... | SELECT T1.title FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id WHERE T3.COUNTry_name = 'France' LIMIT 10; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
person :
... | SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title = 'Transformers' AND T2.job = 'Director'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
person :
... | SELECT T3.person_name FROM movie AS T1 INNER JOIN movie_crew AS T2 ON T1.movie_id = T2.movie_id INNER JOIN person AS T3 ON T2.person_id = T3.person_id WHERE T1.title = 'Mad Max: Fury Road' LIMIT 10; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
genre :
genre_id [ INTEGER ] primary_key
genre_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
r... | SELECT CAST(COUNT(CASE WHEN T4.genre_name = 'Animation' THEN T1.movie_id ELSE NULL END) AS REAL) * 100 / COUNT(T1.movie_id) FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN production_COUNTry AS T3 ON T1.movie_id = T3.movie_id INNER JOIN genre AS T4 ON T2.genre_id = T4.genre_id INN... |
[INST] Here is a database schema:
gender :
gender_id [ INTEGER ] primary_key
gender [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TE... | SELECT CAST(COUNT(CASE WHEN T3.gender = 'Male' THEN 1 ELSE NULL END) AS REAL) / COUNT(CASE WHEN T3.gender = 'Female' THEN 1 ELSE NULL END) AS RATIO , COUNT(CASE WHEN T3.gender = 'Unspecified' THEN 1 ELSE NULL END) AS UNGENDERS FROM movie AS T1 INNER JOIN movie_cast AS T2 ON T1.movie_id = T2.movie_id INNER JOIN gender A... |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
Please w... | SELECT title FROM movie WHERE CAST(STRFTIME('%Y', release_date) AS INT) < 2000 LIMIT 5; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
movie_key... | SELECT T2.keyword_id FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'Sin City'; |
[INST] Here is a database schema:
keyword :
keyword_id [ INTEGER ] primary_key
keyword_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagl... | SELECT T1.title FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id WHERE T3.keyword_name = 'angel'; |
[INST] Here is a database schema:
keyword :
keyword_id [ INTEGER ] primary_key
keyword_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagl... | SELECT T3.keyword_name FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id ORDER BY T1.popularity DESC LIMIT 1; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
movie_gen... | SELECT T2.genre_id FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title = 'The Dark Knight'; |
[INST] Here is a database schema:
genre :
genre_id [ INTEGER ] primary_key
genre_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ ... | SELECT T1.title FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T3.genre_name = 'Thriller'; |
[INST] Here is a database schema:
genre :
genre_id [ INTEGER ] primary_key
genre_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ ... | SELECT T1.title FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T1.movie_status = 'Rumored' AND T3.genre_name = 'Drama' LIMIT 5; |
[INST] Here is a database schema:
genre :
genre_id [ INTEGER ] primary_key
genre_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ ... | SELECT T3.genre_name FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id ORDER BY T1.revenue LIMIT 1; |
[INST] Here is a database schema:
genre :
genre_id [ INTEGER ] primary_key
genre_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ ... | SELECT T3.genre_name FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id WHERE T1.runtime = 14; |
[INST] Here is a database schema:
genre :
genre_id [ INTEGER ] primary_key
genre_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ ... | SELECT T3.genre_name FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T2.genre_id = T3.genre_id ORDER BY T1.vote_average DESC, T1.revenue LIMIT 1; |
[INST] Here is a database schema:
genre :
genre_id [ INTEGER ] primary_key
genre_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ ... | SELECT T3.genre_name FROM movie AS T1 INNER JOIN movie_genres AS T2 ON T1.movie_id = T2.movie_id INNER JOIN genre AS T3 ON T3.genre_id = T2.genre_id WHERE T1.tagline = 'A long time ago in a galaxy far, far away...'; |
[INST] Here is a database schema:
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagline [ TEXT ]
vote_average [ REAL ]
vote_count [ INTEGER ]
productio... | SELECT T2.COUNTry_id FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id WHERE T1.title LIKE 'Pirates of the Caribbean: Dead Man%s Chest'; |
[INST] Here is a database schema:
country :
country_id [ INTEGER ] primary_key
country_iso_code [ TEXT ]
country_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
... | SELECT T1.title FROM movie AS T1 INNER JOIN production_COUNTry AS T2 ON T1.movie_id = T2.movie_id INNER JOIN COUNTry AS T3 ON T2.COUNTry_id = T3.COUNTry_id WHERE T3.COUNTry_name = 'Canada'; |
[INST] Here is a database schema:
keyword :
keyword_id [ INTEGER ] primary_key
keyword_name [ TEXT ]
movie :
movie_id [ INTEGER ] primary_key
title [ TEXT ]
budget [ INTEGER ]
homepage [ TEXT ]
overview [ TEXT ]
popularity [ REAL ]
release_date [ DATE ]
revenue [ INTEGER ]
runtime [ INTEGER ]
movie_status [ TEXT ]
tagl... | SELECT SUM(T1.budget) FROM movie AS T1 INNER JOIN movie_keywords AS T2 ON T1.movie_id = T2.movie_id INNER JOIN keyword AS T3 ON T2.keyword_id = T3.keyword_id WHERE T3.keyword_name = 'video game'; |
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