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stringlengths 358
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[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: How many voice actors for the movie Aladdin? [/INST] | SELECT COUNT('voice-actor') FROM `voice-actors` WHERE movie = 'Aladdin'; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: List the movie titles with the voice actor Jeff Bennet [/INST] | SELECT movie FROM `voice-actors` WHERE 'voice-actor' = 'Jeff Bennett'; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Provide the director's name of Wreck-It Ralph movie. [/INST] | SELECT director FROM director WHERE name = 'Wreck-It Ralph'; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: What movies did director Jack Kinney direct? [/INST] | SELECT name FROM director WHERE director = 'Jack Kinney'; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: How many movies were released between 1937 and 1950? [/INST] | SELECT COUNT(movie_title) FROM characters WHERE SUBSTR(release_date, LENGTH(release_date) - 1, LENGTH(release_date)) BETWEEN '37' AND '50'; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Provide the name of the song from the movie directed by Ben Sharpsteen. [/INST] | SELECT T1.song FROM characters AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T2.director = 'Ben Sharpsteen'; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Indicate the release date of the film The Lion King directed by Roger Allers. [/INST] | SELECT T1.release_date FROM characters AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T2.director = 'Roger Allers' AND T1.movie_title = 'The Lion King'; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Name the villain of the movie with Scott Weinger and Brad Kane as voice actors. [/INST] | SELECT T1.villian FROM characters AS T1 INNER JOIN `voice-actors` AS T2 ON T1.movie_title = T2.movie WHERE T2.`voice-actor` = 'Scott Weinger Brad Kane'; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Which movies of director Wolfgang Reitherman do not have villain? [/INST] | SELECT T1.movie_title FROM characters AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T2.director = 'Wolfgang Reitherman' AND T1.villian IS NULL; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: List the titles of movies directed by Jack Kinney that were released before 1947. [/INST] | SELECT T1.movie_title FROM characters AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T2.director = 'Jack Kinney' AND SUBSTR(T1.release_date, LENGTH(T1.release_date) - 1, LENGTH(T1.release_date)) < '47'; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: List the names of the directors whose films grossed over $100 million. [/INST] | SELECT DISTINCT T2.director FROM characters AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name INNER JOIN movies_total_gross AS T3 ON T1.movie_title = T3.movie_title WHERE CAST(REPLACE(trim(T3.total_gross, '$'), ',', '') AS REAL) > 100000000; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Which movie's song title has the highest total gross? [/INST] | SELECT T2.song FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title ORDER BY CAST(REPLACE(trim(T1.total_gross, '$'), ',', '') AS REAL) DESC LIMIT 1; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Which director had the most popular film from 1937 to 1990? [/INST] | SELECT T2.director FROM characters AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name INNER JOIN movies_total_gross AS T3 ON T3.movie_title = T1.movie_title WHERE SUBSTR(T3.release_date, LENGTH(T3.release_date) - 3, LENGTH(T3.release_date)) BETWEEN '1937' AND '1990' ORDER BY CAST(REPLACE(trim(T3.total_gross, '$'), ',', '') AS REAL) DESC LIMIT 1; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: List all the main characters of the movie that are comedy genre. [/INST] | SELECT T2.hero FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title WHERE T1.genre = 'Comedy'; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Provide the names of voice actors for the characters of films directed by Wolfgang Reitherman. [/INST] | SELECT T2.hero, T1.`voice-actor` FROM `voice-actors` AS T1 INNER JOIN characters AS T2 ON T1.movie = T2.movie_title INNER JOIN director AS T3 ON T3.name = T2.movie_title WHERE T3.director = 'Wolfgang Reitherman'; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: What genre of movie has Taran as the main character? [/INST] | SELECT T1.genre FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title WHERE T2.hero = 'Taran'; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: The main character Elsa is voiced by which actor and who is the director of the movie? [/INST] | SELECT T1.`voice-actor`, T3.director FROM `voice-actors` AS T1 INNER JOIN characters AS T2 ON T1.movie = T2.movie_title INNER JOIN director AS T3 ON T2.movie_title = T3.name WHERE T2.hero = 'Elsa'; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Calculate the percentage of directors whose films grossed over $100 million. [/INST] | SELECT CAST(COUNT(DISTINCT CASE WHEN CAST(REPLACE(trim(T1.total_gross, '$'), ',', '') AS REAL) > 100000000 THEN T3.director ELSE NULL END) AS REAL) * 100 / COUNT(DISTINCT T3.director) FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title INNER JOIN director AS T3 ON T1.movie_title = T3.name; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Calculate the percentage of voice actors whose main character in the movie is in the Drama genre. [/INST] | SELECT CAST(COUNT(CASE WHEN T1.genre = 'Drama' THEN T3.`voice-actor` ELSE NULL END) AS REAL) * 100 / COUNT(T3.`voice-actor`) FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title INNER JOIN `voice-actors` AS T3 ON T3.movie = T1.movie_title; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Name the first movie released by Disney. [/INST] | SELECT movie_title FROM characters ORDER BY SUBSTR(release_date, LENGTH(release_date) - 1, LENGTH(release_date)) ASC LIMIT 1; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: How many movies were released by Disney between 2010 and 2016? [/INST] | SELECT COUNT(movie_title) FROM characters WHERE SUBSTR(release_date, LENGTH(release_date) - 1, LENGTH(release_date)) BETWEEN '10' AND '16'; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Who was the first ever Disney villain? [/INST] | SELECT villian FROM characters ORDER BY SUBSTR(release_date, LENGTH(release_date) - 1, LENGTH(release_date)) DESC LIMIT 1; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: What is Disney's highest grossing action movie? [/INST] | SELECT movie_title FROM movies_total_gross WHERE genre = 'Action' ORDER BY CAST(REPLACE(trim(total_gross, '$'), ',', '') AS REAL) DESC LIMIT 1; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Which actor voices Akela from The Jungle Book? [/INST] | SELECT `voice-actor` FROM `voice-actors` WHERE character = 'Akela'; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Determine Disney's total box office gross between 2010 and 2016. [/INST] | SELECT SUM(Total) FROM revenue WHERE `Year` BETWEEN 2010 AND 2016; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Name the main character of Disney's most popular adventure movie based on its inflation-adjusted gross. [/INST] | SELECT T2.hero FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title WHERE T1.genre = 'Adventure' ORDER BY CAST(REPLACE(trim(T1.inflation_adjusted_gross, '$'), ',', '') AS REAL) DESC LIMIT 1; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Name the director of Disney's lowest grossing movie. [/INST] | SELECT T2.director FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name ORDER BY CAST(REPLACE(trim(T1.total_gross, '$'), ',', '') AS REAL) ASC LIMIT 1; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Find out what proportion of total revenue Walt Disney Parks and Resorts received in 2010. [/INST] | SELECT SUM(`Walt Disney Parks and Resorts`) / SUM(Total) * 100 FROM revenue WHERE year = 2010; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Determine the average gross for Disney's PG-13-rated action movies. [/INST] | SELECT SUM(CAST(REPLACE(trim(total_gross, '$'), ',', '') AS REAL)) / COUNT(movie_title) FROM movies_total_gross WHERE MPAA_rating = 'PG-13'; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: How many voice-actors were involved in the Bambi movie? [/INST] | SELECT COUNT(DISTINCT 'voice-actor') FROM `voice-actors` WHERE movie = 'Bambi'; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Find the estimated inflation rate that was used to adjust the 1995 box office revenue for Disney's films. [/INST] | SELECT SUM(CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL)) / SUM(CAST(REPLACE(trim(total_gross, '$'), ',', '') AS REAL)) FROM movies_total_gross WHERE SUBSTR(release_date, LENGTH(release_date) - 3, LENGTH(release_date)) = '1995' GROUP BY SUBSTR(release_date, LENGTH(release_date) - 3, LENGTH(release_date)) = '1995'; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: What is the difference in the current gross of Cars and its sequel, Cars 2? Which movie is more popular? [/INST] | SELECT SUM(CASE WHEN movie_title = 'Cars' THEN CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL) ELSE 0 END), SUM(CASE WHEN movie_title = 'Cars 2' THEN CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL) ELSE 0 END) FROM movies_total_gross; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Name the most recent movie directed by Chris Buck. Which of his movies was more successful in terms of grossing? Use the current gross for comparison. [/INST] | SELECT T1.movie_title, MAX(T1.release_date), MAX(T1.inflation_adjusted_gross) FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T2.director = 'Chris Buck'; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Name actors who voiced more than five Disney characters. [/INST] | SELECT 'voice-actor' FROM `voice-actors` GROUP BY 'voice-actor' HAVING COUNT(movie) > 5; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Name the top 5 highest-grossing Disney movies adjusted for inflation. Identify the percentage they contributed to the total of Disney's current gross. [/INST] | SELECT SUM(CASE WHEN CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL) > 1236035515 THEN CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL) ELSE 0 END) * 100 / SUM(CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL)) FROM movies_total_gross; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ TEXT ] movies_total_gross.movie_title = characters.movie_title
release_date [ TEXT ]
genre [ TEXT ]
MPAA_rating [ TEXT ]
total_gross [ TEXT ]
inflation_adjusted_gross [ TEXT ]
revenue :
Year [ INTEGER ] primary_key
Studio Entertainment[NI 1] [ REAL ]
Disney Consumer Products[NI 2] [ REAL ]
Disney Interactive[NI 3][Rev 1] [ INTEGER ]
Walt Disney Parks and Resorts [ REAL ]
Disney Media Networks [ TEXT ]
Total [ INTEGER ]
voice-actors :
character [ TEXT ] primary_key
voice-actor [ TEXT ]
movie [ TEXT ] voice-actors.movie = characters.movie_title
Please write me a SQL statement that answers the following question: Among all Disney movies directed by Gary Trousdale, determine the percentage that earned over USD100m based on actual grossing. [/INST] | SELECT CAST(COUNT(CASE WHEN CAST(REPLACE(trim(T1.total_gross, '$'), ',', '') AS REAL) > 100000000 THEN T1.movie_title ELSE NULL END) AS REAL) * 100 / COUNT(T1.movie_title) FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T2.director = 'Gary Trousdale'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: How many current legislators do not have an account on ballotpedia.org ? [/INST] | SELECT COUNT(*) FROM current WHERE ballotpedia_id = '' OR ballotpedia_id IS NULL; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the official full names of all the current legislators who do not have an account on C-SPAN's video website. [/INST] | SELECT official_full_name FROM current WHERE cspan_id IS NULL OR cspan_id = ''; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: How many current legislators were born after the year 1960? [/INST] | SELECT COUNT(bioguide_id) FROM current WHERE birthday_bio >= '1961-01-01'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Among all the current female legislators, how many of them have not been registered in Federal Election Commission data? [/INST] | SELECT COUNT(*) FROM current WHERE (fec_id IS NULL OR fec_id = '') AND gender_bio = 'F'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: What is the google entity ID of current legislator Sherrod Brown? [/INST] | SELECT google_entity_id_id FROM current WHERE official_full_name = 'Sherrod Brown'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Which current legislator is older, Sherrod Brown or Maria Cantwell? [/INST] | SELECT official_full_name FROM current WHERE official_full_name = 'Sherrod Brown' OR official_full_name = 'Maria Cantwell' ORDER BY birthday_bio LIMIT 1; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: What is the username of the current official Facebook presence of current legislator Todd Young? [/INST] | SELECT T1.facebook FROM `social-media` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.official_full_name = 'Todd Young'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: How many current legislators do not have an account on instagram? [/INST] | SELECT COUNT(*) FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T1.instagram IS NULL; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: To which current legislator does twitter ID234128524 belong? Please give his or her full official name. [/INST] | SELECT T1.official_full_name FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T2.twitter_id = 234128524; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the current official YouTube usernames of all the current female legislators. [/INST] | SELECT T2.youtube FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.gender_bio = 'F'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: What is the username of the current official Facebook presence of the oldest current legislator? [/INST] | SELECT T2.facebook FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id ORDER BY T1.birthday_bio LIMIT 1; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Among the current legislators who do not have accounts on OpenSecrets.org., how many of them do not have instagram accounts either? [/INST] | SELECT SUM(CASE WHEN T1.instagram IS NULL THEN 1 ELSE 0 END) AS count FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T2.opensecrets_id IS NULL OR T2.opensecrets_id = ''; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Current legislator Roger F. Wicker has not been a representative for how many terms? [/INST] | SELECT SUM(CASE WHEN T1.official_full_name = 'Roger F. Wicker' THEN 1 ELSE 0 END) AS count FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.district IS NULL OR T2.district = ''; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: For how many terms has current legislator Sherrod Brown served? [/INST] | SELECT COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Sherrod Brown'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Please list the official full names of all the current legislators who were once a senator during his or her terms. [/INST] | SELECT T2.official_full_name FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.state_rank IS NOT NULL; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: For which state did current legislator Sherrod Brown serve during his term that started on 1993/1/5? [/INST] | SELECT T1.state FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.start = '1993-01-05' AND T2.official_full_name = 'Sherrod Brown'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Among all the female current legislators, how many of them have served for more than 4 terms? [/INST] | SELECT COUNT(CID) FROM ( SELECT T1.bioguide_id AS CID FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'F' GROUP BY T2.bioguide HAVING COUNT(T2.bioguide) > 4 ); |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Among the current legislators who have served for more than 6 terms, how many of them were born after 1960? [/INST] | SELECT COUNT(CID) FROM ( SELECT T1.bioguide_id AS CID FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.birthday_bio >= '1960-01-01' GROUP BY T2.bioguide HAVING COUNT(T2.bioguide) > 6 ); |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: What is the average number of terms for a current female legislator? [/INST] | SELECT CAST(COUNT(T2.bioguide) AS REAL) / COUNT(DISTINCT T1.bioguide_id) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'F'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Among all the current legislators whose religion is Roman Catholic, what is the percentage of the ones without an instagram account? [/INST] | SELECT CAST(SUM(CASE WHEN T1.instagram IS NULL THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T2.religion_bio = 'Roman Catholic'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: How many males were members of the current legislators? [/INST] | SELECT COUNT(*) FROM current WHERE gender_bio = 'M'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: How many current legislators chose Republican as their political party? [/INST] | SELECT COUNT(*) FROM `current-terms` WHERE party = 'Republican'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: How many legislators have an Instagram account? [/INST] | SELECT COUNT(*) FROM `social-media` WHERE instagram IS NOT NULL AND instagram <> ''; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: How many females were members of the past legislators? [/INST] | SELECT COUNT(*) FROM historical WHERE gender_bio = 'F'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: How many male legislators are Roman Catholic? [/INST] | SELECT COUNT(*) FROM current WHERE religion_bio = 'Roman Catholic' AND gender_bio = 'M'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: What type of political party Sherrod Brown has in 2005? [/INST] | SELECT T1.party FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.first_name = 'Sherrod' AND T2.last_name = 'Brown' AND T1.start LIKE '%2005%'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: List the full name of all the senior senators in year 2013. [/INST] | SELECT T2.official_full_name FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.state_rank = 'senior' AND T1.type = 'sen' AND T1.start LIKE '2013%'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: What is the current official Youtube username of Chris Van Hollen? [/INST] | SELECT T2.youtube FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.official_full_name = 'Chris Van Hollen'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: How many official social media does Mark Warner have? [/INST] | SELECT CASE WHEN T1.facebook IS NOT NULL THEN 1 END + CASE WHEN T1.instagram IS NOT NULL THEN 1 END + CASE WHEN T1.twitter IS NOT NULL THEN 1 END + CASE WHEN T1.youtube IS NOT NULL THEN 1 END AS COUNTSOCIAL FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T2.first_name = 'Mark' AND T2.last_name = 'Warner'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: List the last name of all current legislators who live in California. [/INST] | SELECT T1.last_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.state = 'CA' GROUP BY T1.last_name; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: List the full name of all current female senators. [/INST] | SELECT T2.first_name, T2.last_name FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.type = 'sen' AND T2.gender_bio = 'F' GROUP BY T2.ballotpedia_id; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: What is the numeric ID of Chris Van Hollen on GovTrack.us? [/INST] | SELECT T2.govtrack FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.official_full_name = 'Chris Van Hollen'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: What is the current official Twitter handle of Roger F. Wicker? [/INST] | SELECT T2.twitter FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.official_full_name = 'Roger F. Wicker'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: List the full name of all past legislators that chose Pro-Administration as their political party in year 1791. [/INST] | SELECT T1.first_name, T1.last_name FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Pro-Administration' AND CAST(T2.start AS DATE) <= 1791 AND CAST(T2.END AS DATE) >= 1791; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Provide the full name of all current female legislators that chose Republican as their political party. [/INST] | SELECT T1.first_name, T1.last_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Republican' AND T1.gender_bio = 'F' AND T2.END > DATE() GROUP BY T1.bioguide_id; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: What is the district number that Chris Van Hollen serving? [/INST] | SELECT T2.district FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Chris Van Hollen' AND T2.district IS NOT NULL GROUP BY T2.district; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: How many times did Richard Durbin become a legislator in district 20? [/INST] | SELECT SUM(CASE WHEN T2.district = 20 THEN 1 ELSE 0 END) AS count FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name = 'Richard' AND T1.last_name = 'Durbin'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Calculate the average number of current male legislators who chose Democrat from 2000 until 2021. [/INST] | SELECT CAST(COUNT(T1.bioguide_id) AS REAL) / 22 FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'M' AND CAST(T2.start AS DATE) >= 2000 AND CAST(T2.END AS DATE) <= 2021 AND T2.party = 'Democrat'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Calculate the percentage of the total number of current female legislators and past female legislators. State which one has the highest value. [/INST] | SELECT CAST(COUNT(CASE WHEN current.gender_bio = 'F' THEN current.bioguide_id ELSE NULL END) AS REAL) * 100 / ( SELECT COUNT(CASE WHEN historical.gender_bio = 'F' THEN historical.bioguide_id ELSE NULL END) FROM historical ) FROM current; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Give the YouTube ID of the channel 'RepWassermanSchultz.' [/INST] | SELECT youtube_id FROM `social-media` WHERE youtube = 'RepWassermanSchultz'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: What are the Facebook, Twitter and YouTube usernames of Adam Kinzinger? [/INST] | SELECT T2.facebook FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.official_full_name = 'Adam Kinzinger'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Which party does Christopher Henderson Clark belong to? [/INST] | SELECT T1.party FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.first_name OR T2.middle_name OR T2.last_name = 'ChristopherHendersonClark'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: List the official full names of 10 legislators who have a YouTube account but no Instagram account. [/INST] | SELECT T2.official_full_name FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T1.facebook IS NOT NULL AND (T1.instagram IS NULL OR T1.instagram = '') LIMIT 10; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Give the official full names of legislators representing Virginia. [/INST] | SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.state = 'VA' GROUP BY T1.official_full_name; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Which historical legislators are members of the National Greenbacker party? Write their first and last names. [/INST] | SELECT T2.first_name, T2.last_name FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.party = 'National Greenbacker'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Which legislator has the YouTube channel 'RoskamIL06?' Write the official full name. [/INST] | SELECT T1.official_full_name FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T2.youtube = 'RoskamIL06'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: List the full names of 10 legislators who only have a Facebook account. [/INST] | SELECT T2.official_full_name FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE (T1.youtube IS NULL OR T1.youtube = '') AND (T1.instagram IS NULL OR T1.instagram = '') AND (T1.twitter IS NULL OR T1.twitter = '') AND T1.facebook IS NOT NULL AND T1.facebook != ''; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Write the full names of junior ranked Republicans. [/INST] | SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Republican' AND T2.state_rank = 'junior' GROUP BY T1.official_full_name; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: What is the contact URL of Claire McCaskill? [/INST] | SELECT T2.contact_form FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Claire McCaskill' GROUP BY T2.contact_form; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Give the Wikipedia IDs of historical legislators who are Readjuster Democrats. [/INST] | SELECT T2.wikipedia_id FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.party = 'Readjuster Democrat'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: List the full names of Republican legislators who have a nickname. [/INST] | SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Republican' AND T1.nickname_name IS NOT NULL GROUP BY T1.official_full_name; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Which state did Veronica Grace Boland represent and which party is she affiliated? [/INST] | SELECT T2.state, T2.party FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name OR T1.middle_name OR T1.last_name = 'VeronicaGraceBoland'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: How many historical legislators were born in 1973? [/INST] | SELECT COUNT(*) FROM historical WHERE CAST(birthday_bio AS date) = 1973; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: What is the ratio of males and females among historical legislators? [/INST] | SELECT CAST(SUM(CASE WHEN gender_bio = 'M' THEN 1 ELSE 0 END) AS REAL) / SUM(CASE WHEN gender_bio = 'F' THEN 1 ELSE 0 END) FROM historical; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Among the legislators who will end in 2009, how many are from the Republican party? [/INST] | SELECT `END`, party FROM `current-terms` WHERE STRFTIME('%Y', `END`) = '2009' AND party = 'Republican'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: List the official full names and genders of legislators who have Collins as their last name. [/INST] | SELECT official_full_name, gender_bio FROM current WHERE last_name = 'Collins'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: How many percent of senators were from class 1? [/INST] | SELECT CAST(SUM(CASE WHEN class = 1 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM `historical-terms` WHERE type = 'sen'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Provide the current legislators' official full names who are from the Independent party. [/INST] | SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Independent' GROUP BY T1.official_full_name; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: How many years had Jr. John Conyers served in total? [/INST] | SELECT SUM(CAST(T2.END - T2.start AS DATE)) AS sum FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'John Conyers, Jr.'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: How old was Jr. F. James Sensenbrenner when he first started as a legislator? [/INST] | SELECT CAST(MIN(T2.start) - T1.birthday_bio AS DATE) AS AGE FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'F. James Sensenbrenner, Jr.'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: List the full names, religions, and parties of legislators who have served in Maine. [/INST] | SELECT T1.official_full_name, T2.relation, T2.party FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.state = 'ME' GROUP BY T1.official_full_name, T2.relation, T2.party; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Among legislators who have an Instagram account, list down their full names and nicknames who have a Thomas ID of less than 1000. [/INST] | SELECT T1.official_full_name, T1.nickname_name FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T2.instagram IS NOT NULL AND T1.thomas_id < 1000; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: When was the last serving date of Matt Salmon? [/INST] | SELECT T1.END FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.official_full_name = 'Matt Salmon'; |
[INST] Here is a database schema:
current :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ]
birthday_bio [ DATE ]
cspan_id [ REAL ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ REAL ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ INTEGER ]
votesmart_id [ REAL ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
current-terms :
address [ TEXT ]
bioguide [ TEXT ] current-terms.bioguide = current.bioguide_id
caucus [ TEXT ]
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
historical :
ballotpedia_id [ TEXT ]
bioguide_id [ TEXT ] primary_key
bioguide_previous_id [ TEXT ]
birthday_bio [ TEXT ]
cspan_id [ TEXT ]
fec_id [ TEXT ]
first_name [ TEXT ]
gender_bio [ TEXT ]
google_entity_id_id [ TEXT ]
govtrack_id [ INTEGER ]
house_history_alternate_id [ TEXT ]
house_history_id [ REAL ]
icpsr_id [ REAL ]
last_name [ TEXT ]
lis_id [ TEXT ]
maplight_id [ TEXT ]
middle_name [ TEXT ]
nickname_name [ TEXT ]
official_full_name [ TEXT ]
opensecrets_id [ TEXT ]
religion_bio [ TEXT ]
suffix_name [ TEXT ]
thomas_id [ TEXT ]
votesmart_id [ TEXT ]
wikidata_id [ TEXT ]
wikipedia_id [ TEXT ]
historical-terms :
address [ TEXT ]
bioguide [ TEXT ] primary_key historical-terms.bioguide = historical.bioguide_id
chamber [ TEXT ]
class [ REAL ]
contact_form [ TEXT ]
district [ REAL ]
end [ TEXT ]
fax [ TEXT ]
last [ TEXT ]
middle [ TEXT ]
name [ TEXT ]
office [ TEXT ]
party [ TEXT ]
party_affiliations [ TEXT ]
phone [ TEXT ]
relation [ TEXT ]
rss_url [ TEXT ]
start [ TEXT ]
state [ TEXT ]
state_rank [ TEXT ]
title [ TEXT ]
type [ TEXT ]
url [ TEXT ]
social-media :
bioguide [ TEXT ] primary_key social-media.bioguide = current.bioguide_id
facebook [ TEXT ]
facebook_id [ REAL ]
govtrack [ REAL ]
instagram [ TEXT ]
instagram_id [ REAL ]
thomas [ INTEGER ]
twitter [ TEXT ]
twitter_id [ REAL ]
youtube [ TEXT ]
youtube_id [ TEXT ]
Please write me a SQL statement that answers the following question: Among the legislators who have served in the U.S. House, provide the party and the state of the legislators who were born in 1738. [/INST] | SELECT T1.party, T1.state FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.house_history_id IS NOT NULL AND T2.birthday_bio LIKE '%1738%'; |
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