input stringlengths 358 16.1k | output stringlengths 24 805 |
|---|---|
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT title FROM Episode ORDER BY rating LIMIT 3; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT birth_place, birth_region FROM Person WHERE birth_name = 'Rene Chenevert Balcer'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT name FROM Person WHERE birth_country = 'USA'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T2.stars = 1; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T1.name FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.Result = 'Winner' AND T2.role = 'director'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT SUM(T2.votes) FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Juvenile'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T1.title FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T2.credited = 'false' AND T3.name = 'Anthony Azzara'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT DISTINCT T1.year FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T2.title = 'DWB' AND T1.result = 'Winner'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T2.birth_region FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T1.role = 'president of NBC West Coast'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT COUNT(T3.person_id) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T3.name = 'Donna Villella'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T2.role FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.Result = 'Nominee' AND T1.name = 'Julia Roberts'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T2.role FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.person_id = T2.person_id INNER JOIN Award AS T3 ON T2.episode_id = T3.episode_id ORDER BY T1.height_meters DESC LIMIT 1; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T2.title FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.result = 'Nominee' GROUP BY T2.episode_id ORDER BY COUNT(T1.result) DESC LIMIT 1; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T1.rating FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T3.name = 'Jace Alexander'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T3.name FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T1.episode = 19 AND T1.season = 9; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT CAST(SUM(T3.stars) AS REAL) / COUNT(T2.episode_id) FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.person_id = T2.person_id INNER JOIN Vote AS T3 ON T2.episode_id = T3.episode_id WHERE T3.stars = 1 AND T1.name = 'Jim Bracchitta'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT CAST(SUM(CASE WHEN T2.role = 'Additional Crew' THEN 1 ELSE 0 END) AS REAL ) * 100 / COUNT(T1.episode_id) FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'True North'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T2.title, T2.summary, T2.air_date FROM Vote AS T1 INNER JOIN Episode AS T2 ON T2.episode_id = T1.episode_id WHERE T1.stars = 10 AND T1.votes = 72; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T2.air_date, T2.rating FROM Vote AS T1 INNER JOIN Episode AS T2 ON T2.episode_id = T1.episode_id WHERE T1.stars = 6 AND T2.episode = 12; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T1.name, T2.role FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.year = 2000 AND T2.award_category = 'Edgar' AND T2.award = 'Best Television Episode'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T2.organization, T2.year, T2.award, T2.award_category FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T1.name = 'Rene Balcer' AND T2.result = 'Winner'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT t3.years, t3.episode_id FROM ( SELECT DISTINCT T2.year AS years, T2.episode_id, row_number() OVER (PARTITION BY T2.episode_id ORDER BY T2.year) AS rm FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.award = 'Television' AND T2.award_category = 'Silver Gavel Award' AND T1.name = 'C... |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT t3.name FROM ( SELECT DISTINCT T2.year AS years, T1.name, row_number() OVER (PARTITION BY T1.name ORDER BY T2.year) AS rm FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T2.award = 'Television' AND T2.award_category = 'Silver Gavel Award' AND T2.series = 'Law and Order' AND T2.resul... |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT COUNT(T2.award_id) FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE T2.year = 1999 AND T2.result = 'Nominee' AND T1.episode = 20 AND T2.organization = 'Primetime Emmy Awards' AND T1.series = 'Law and Order'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T3.episode_id, T2.role FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id INNER JOIN Episode AS T3 ON T2.episode_id = T3.episode_id WHERE T2.year = 1999 AND T2.award = 'Outstanding Guest Actress in a Drama Series' AND T2.organization = 'Primetime Emmy Awards' AND T1.name = 'Julia Roberts' AN... |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T1.title, T1.air_date FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T2.category = 'Produced by' AND T2.role = 'producer' AND T3.name = 'Billy Fox'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT COUNT(T1.person_id) FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T1.episode_id = 'tt0629228' AND T1.category = 'Cast' AND T1.credited = 'false' AND T2.birth_country = 'USA'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T1.role FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id INNER JOIN Episode AS T3 ON T1.episode_id = T3.episode_id WHERE T3.episode = 9 AND T2.name = 'Jason Kuschner'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T2.name FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id INNER JOIN Episode AS T3 ON T1.episode_id = T3.episode_id WHERE T3.episode = 1 AND T1.role = 'president of NBC West Coast'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T2.title FROM Vote AS T1 INNER JOIN Episode AS T2 ON T2.episode_id = T1.episode_id WHERE T1.stars BETWEEN 1 AND 10 GROUP BY T2.title ORDER BY CAST(SUM(T1.stars * T1.percent) AS REAL) / 100 DESC LIMIT 3; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT CAST(SUM(CASE WHEN T2.category = 'Cast' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.category), T1.role FROM Award AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Episode AS T3 ON T2.episode_id = T3.episode_id INNER JOIN Person AS T4 ON T2.person_id = T4.person_id WHERE T3.episode = 2 A... |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT COUNT(T1.person_id) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T1.birth_country = 'Canada'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT COUNT(T2.person_id) FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T2.name = 'Jerry Orbach'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T3.name FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T1.episode = 9; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T2.award FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE T1.episode = 20 AND T2.result IN ('Winner', 'Nominee'); |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T1.name FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id GROUP BY T2.role HAVING COUNT(T2.award_id) > 1; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T3.name, T1.episode_id FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T2.person_id = T3.person_id WHERE T2.role = 'director' AND T2.result = 'Winner'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T1.episode FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE T2.result = 'Nominee'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT SUM(rating) / COUNT(episode_id) FROM Episode WHERE season = 9; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT SUM(CASE WHEN T2.episode = 24 THEN T1.votes ELSE 0 END) - SUM(CASE WHEN T2.episode = 1 THEN T1.votes ELSE 0 END) FROM Vote AS T1 INNER JOIN Episode AS T2 ON T2.episode_id = T1.episode_id WHERE T1.stars = 10; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T1.rating FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE T2.result = 'Winner' GROUP BY T1.episode_id ORDER BY COUNT(T2.award_id) DESC LIMIT 1; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT COUNT(T1.person_id) FROM Credit AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.credited = 'true' AND T2.episode BETWEEN 1 AND 10; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T1.episode FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T2.Keyword = 'mafia'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T2.person_id FROM Vote AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id ORDER BY T1.percent DESC LIMIT 1; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT SUM(T1.rating) / COUNT(T1.episode) FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT COUNT(award_id) FROM Award WHERE result = 'Winner' AND award = 'Television' AND organization = 'American Bar Association Silver Gavel Awards for Media and the Arts'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT birth_country FROM Person WHERE name = 'Michael Preston'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T2.name FROM Award AS T1 INNER JOIN Person AS T2 ON T1.person_id = T2.person_id WHERE T1.result = 'Nominee' AND T1.role = 'Katrina Ludlow' AND T1.series = 'Law and Order'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T2.name FROM Award AS T1 INNER JOIN Person AS T2 ON T1.person_id = T2.person_id WHERE T1.result = 'Winner' AND T1.award = 'Best Television Episode'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T2.birthdate FROM Award AS T1 INNER JOIN Person AS T2 ON T1.person_id = T2.person_id WHERE T1.role = 'writer'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T2.title FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.award = 'Outstanding Costume Design for a Series'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id GROUP BY T1.title ORDER BY SUM(T1.votes) DESC LIMIT 1; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T1.name FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.person_id = T2.person_id WHERE T2.role = 'Alex Brown' AND T2.credited = 'true'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT DISTINCT T1.birth_place FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.person_id = T2.person_id WHERE T1.person_id = 'nm0007064' AND T2.role = 'Narrator' AND T2.credited = 'false'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Shield'; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T2.name FROM Award AS T1 INNER JOIN Person AS T2 ON T1.person_id = T2.person_id WHERE T1.result = 'Winner' AND T2.height_meters > 1.80; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T1.title FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T2.keyword IN ('nun', 'priest'); |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T2.episode_id FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.award = 'Best Television Episode' AND T1.result = 'Winner' ORDER BY T2.rating DESC LIMIT 2; |
[INST] Here is a database schema:
Episode :
episode_id [ TEXT ] primary_key
series [ TEXT ]
season [ INTEGER ]
episode [ INTEGER ]
number_in_series [ INTEGER ]
title [ TEXT ]
summary [ TEXT ]
air_date [ DATE ]
episode_image [ TEXT ]
rating [ REAL ]
votes [ INTEGER ]
Keyword :
episode_id [ TEXT ] Keyword.episode_id = E... | SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T2.stars = 10 LIMIT 3; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T2.value, T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.date = '2008-03-11' AND T2.description = 'Body Height'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT SUM(CASE WHEN strftime('%Y', T2.date) = '2009' THEN T2.VALUE END) - SUM(CASE WHEN strftime('%Y', T2.date) = '2008' THEN T2.VALUE END) AS increase , T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Body Height'... |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T2.value, T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Systolic Blood Pressure' ORDER BY T2.VALUE DESC LIMIT 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT COUNT(T2.description) FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Systolic Blood Pressure'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.VALUE = ( SELECT MAX(VALUE) FROM observations WHERE description = 'Systolic Blood Pressure' ) LIMIT 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description LIKE 'Acetaminophen%'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T2.description FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T2.REASONDESCRIPTION FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description LIKE 'Acetaminophen%'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T2.description FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.reasondescription = 'Streptococcal sore throat (disorder)'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.description LIKE 'Acetaminophen%'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T2.description FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.START = '2009-01-08'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Cystitis'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT AVG(T2.VALUE), T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Body Weight'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT CAST(SUM(CASE WHEN T1.marital = 'M' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.description = 'Cystitis'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T2.description, T2.VALUE, T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Vincent' AND T1.last = 'Wyman' AND T2.date = '2010-08-02' AND T2.description = 'Body Height'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT COUNT(T2.PATIENT) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Norman' AND T1.last = 'Berge'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T2.reasondescription FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Annabelle' AND T1.last = 'Pouros' AND T2.start = '1970-12-19' AND T2.description = 'Leucovorin 100 MG Injection'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T1."PREVALENCE PERCENTAGE" FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) WHERE T2.code = '64859006'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T1."PREVALENCE RATE" FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) WHERE T2.code = '368581000119106'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T2.description FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Jacquelyn' AND T1.last = 'Shanahan' AND T2.DATE = '2009-08-09'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT COUNT(T2.BILLABLEPERIOD) FROM patients AS T1 INNER JOIN claims AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Abbie' AND T1.last = 'Cole' AND T2.BILLABLEPERIOD BETWEEN '2010-12-31' AND '2012-01-01'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT COUNT(DISTINCT T2.code) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Saundra' AND T1.last = 'Monahan'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN claims AS T2 ON T1.patient = T2.PATIENT WHERE T2.billableperiod = '1947-09-11'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T2.description FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Hubert' AND T1.last = 'Baumbach' AND T2.date = '2008-10-25'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T2.description FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Keven' AND T1.last = 'Kuhn' AND T2.start = '2016-09-24' AND T2.stop = '2016-10-10'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T2.date FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Ira' AND T1.last = 'Deckow' AND T2.description = 'Standard pregnancy test'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT CAST(SUM(strftime('%J', T2.STOP) - strftime('%J', T2.START)) AS REAL) / COUNT(T1.patient) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Wesley' AND T1.last = 'Lemke'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT CAST(SUM(strftime('%J', T2.STOP) - strftime('%J', T2.START)) AS REAL) / COUNT(T2.PATIENT) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Angelena' AND T1.last = 'Kertzmann' AND T2.description = 'Normal pregnancy'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT PATIENT FROM allergies WHERE STOP IS NOT NULL GROUP BY PATIENT ORDER BY CASE WHEN SUBSTR(STOP, -2, 1) != '9' THEN SUBSTR(STOP, LENGTH(STOP) - 1) + 2000 END - CASE WHEN SUBSTR(START, -2, 1) = '9' THEN SUBSTR(START, LENGTH(START) - 1) + 1900 ELSE SUBSTR(START, LENGTH(START) - 1) + 2000 END LIMIT 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT COUNT(PATIENT) FROM conditions WHERE DESCRIPTION = 'Diabetes' AND strftime('%Y', START) = '1988'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT COUNT(PATIENT) FROM allergies WHERE DESCRIPTION = 'Allergy to eggs'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT PATIENT FROM conditions WHERE START = ( SELECT MAX(START) FROM conditions WHERE DESCRIPTION = 'Hypertension' ); |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DESCRIPTION FROM allergies GROUP BY DESCRIPTION ORDER BY COUNT(DESCRIPTION) DESC LIMIT 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT PATIENT FROM observations WHERE DESCRIPTION = 'Body Height' AND UNITS = 'cm' ORDER BY VALUE DESC LIMIT 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.gender = 'F' AND T1.ethnicity = 'american' GROUP BY T2.DESCRIPTION ORDER BY COUNT(T2.DESCRIPTION) DESC LIMIT 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Ibuprofen 200 MG Oral Tablet' AND T1.ethnicity = 'dominican' AND strftime('%Y', T2.START) = '2016' AND strftime('%m', T2.STOP) - strftime('%m', T2.START) = 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE DESCRIPTION = 'Pneumonia' AND strftime('%Y', T1.birthdate) LIKE '192%'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT DISTINCT T1.first, T1.last, T1.suffix FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Yaz 28 Day Pack' AND strftime('%Y', T2.START) = '2011'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T1.race = 'black' AND T2.DESCRIPTION = 'DTaP' AND strftime('%Y', T2.DATE) = '2013'; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT COUNT(T2.patient) FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) INNER JOIN immunizations AS T3 ON T2.PATIENT = T3.PATIENT GROUP BY T2.PATIENT ORDER BY T2.START DESC, T1."PREVALENCE RATE" DESC LIMIT 1; |
[INST] Here is a database schema:
all_prevalences :
ITEM [ TEXT ] primary_key
POPULATION TYPE [ TEXT ]
OCCURRENCES [ INTEGER ]
POPULATION COUNT [ INTEGER ]
PREVALENCE RATE [ REAL ]
PREVALENCE PERCENTAGE [ REAL ]
patients :
patient [ TEXT ] primary_key
birthdate [ DATE ]
deathdate [ DATE ]
ssn [ TEXT ]
drivers [ TEXT ]... | SELECT COUNT(DISTINCT T2.patient) FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) ORDER BY T1."PREVALENCE RATE" DESC LIMIT 1; |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.