input stringlengths 358 16.1k | output stringlengths 24 805 |
|---|---|
[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 [ T... | 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 [ T... | 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 [ T... | 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 [ T... | 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 [ T... | 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 [ T... | 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 [ T... | 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 [ T... | 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 [ T... | 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 [ T... | 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 [ T... | 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, '$'), ',', '') AS REAL) > 100000000; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ T... | SELECT T2.song FROM movies_total_gross AS T1 INNER JOIN characters AS T2 ON T1.movie_title = T2.movie_title ORDER BY CAST(REPLACE(trim(T1.total_gross, '$'), ',', '') 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 [ T... | 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, '... |
[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 [ T... | 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 [ T... | 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 [ T... | 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 [ T... | 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 [ T... | 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... |
[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 [ T... | 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 [ T... | 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 [ T... | 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 [ T... | 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 [ T... | 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 [ T... | 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 [ T... | 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 [ T... | 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, '$'), ',', '') AS REAL) DESC LIMIT 1; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ T... | SELECT T2.director FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name ORDER BY CAST(REPLACE(trim(T1.total_gross, '$'), ',', '') 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 [ T... | 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 [ T... | SELECT SUM(CAST(REPLACE(trim(total_gross, '$'), ',', '') AS REAL)) / COUNT(movie_title) FROM movies_total_gross WHERE MPAA_rating = 'PG-13'; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ T... | SELECT COUNT(DISTINCT 'voice-actor') FROM `voice-actors` WHERE movie = 'Bambi'; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ T... | SELECT SUM(CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL)) / SUM(CAST(REPLACE(trim(total_gross, '$'), ',', '') AS REAL)) FROM movies_total_gross WHERE SUBSTR(release_date, LENGTH(release_date) - 3, LENGTH(release_date)) = '1995' GROUP BY SUBSTR(release_date, LENGTH(release_date) - 3, LENGTH(release... |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ T... | SELECT SUM(CASE WHEN movie_title = 'Cars' THEN CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL) ELSE 0 END), SUM(CASE WHEN movie_title = 'Cars 2' THEN CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') AS REAL) ELSE 0 END) FROM movies_total_gross; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ T... | SELECT T1.movie_title, MAX(T1.release_date), MAX(T1.inflation_adjusted_gross) FROM movies_total_gross AS T1 INNER JOIN director AS T2 ON T1.movie_title = T2.name WHERE T2.director = 'Chris Buck'; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ T... | SELECT 'voice-actor' FROM `voice-actors` GROUP BY 'voice-actor' HAVING COUNT(movie) > 5; |
[INST] Here is a database schema:
characters :
movie_title [ TEXT ] primary_key
release_date [ TEXT ]
hero [ TEXT ] characters.hero = voice-actors.character
villian [ TEXT ]
song [ TEXT ]
director :
name [ TEXT ] primary_key director.name = characters.movie_title
director [ TEXT ]
movies_total_gross :
movie_title [ T... | SELECT SUM(CASE WHEN CAST(REPLACE(trim(inflation_adjusted_gross, '$'), ',', '') 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 [ T... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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' A... |
[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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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 ]
map... | 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%'; |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.