input
stringlengths 358
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| output
stringlengths 24
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|---|---|
[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 IDs and full names of legislators from the Liberal Republican party. [/INST] | SELECT T2.bioguide_id, 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 = 'Liberal 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: Among the legislators who started a term on 2nd December 1793, how many of them were males? [/INST] | SELECT COUNT(T1.bioguide_id) FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'M' AND T2.start = '1793-12-02'; |
[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: Compare the number of legislators who started the term in 1875 and 2005. [/INST] | SELECT SUM(CASE WHEN `current-terms`.start LIKE '2005%' THEN 1 ELSE 0 END) - ( SELECT SUM(CASE WHEN start LIKE '1875%' THEN 1 ELSE 0 END) FROM `historical-terms` ) FROM `current-terms`; |
[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, Twitter IDs, and YouTube IDs of legislators who have Richard as their first name. [/INST] | SELECT T2.official_full_name, T1.twitter_id, T1.youtube_id FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T2.first_name = 'Richard'; |
[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 start date, end date, and party of Pearl Peden Oldfield. [/INST] | SELECT T2.start, T2.`end`, T2.party FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name = 'Pearl' AND T1.middle_name = 'Peden' AND T1.last_name = 'Oldfield'; |
[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 birthday of Amy Klobuchar? [/INST] | SELECT birthday_bio FROM current WHERE first_name = 'Amy' AND last_name = 'Klobuchar'; |
[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 not been registered in Federal Election Commission data? [/INST] | SELECT COUNT(*) FROM current WHERE fec_id IS NULL OR fec_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: State the number of female legislators in the list. [/INST] | SELECT COUNT(*) FROM current 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: Give the full name of legislators who have accounts on OpenSecrets.org. [/INST] | SELECT COUNT(*) FROM current WHERE opensecrets_id IS NOT NULL AND 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: What is the middle name of the legislator whose birthday was on 8/24/1956? [/INST] | SELECT middle_name FROM current WHERE birthday_bio = '1956-08-24'; |
[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 hold the title "Majority Leader"? [/INST] | SELECT COUNT(bioguide) FROM `current-terms` WHERE title = 'Majority Leader'; |
[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 title of legislator whose birthday on 2/20/1942? [/INST] | SELECT T2.title FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.birthday_bio = '1942-02-20' GROUP BY T2.title; |
[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 gender of the legislator whose address at 317 Russell Senate Office Building Washington DC 20510? [/INST] | SELECT T1.gender_bio FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.address = '317 Russell Senate Office Building Washington DC 20510'; |
[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 out the first name of legislators who are senior Senator. [/INST] | SELECT T1.first_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.state_rank = 'senior' GROUP BY T1.first_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: Among male legislators, state number of the legislators who are not the senator. [/INST] | SELECT COUNT(T3.state) FROM ( SELECT T2.state FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'M' AND (T2.class IS NULL OR T2.class = '') GROUP BY T2.state ) T3; |
[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 legislators who are Senator and were born in 1964. [/INST] | SELECT CAST(SUM(CASE WHEN T2.class IS NOT NULL THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.birthday_bio LIKE '%1964%'; |
[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 legislators who are not Senator and were born before 1975. [/INST] | SELECT CAST(COUNT(CASE WHEN T2.class IS NULL THEN T1.bioguide_id ELSE NULL END) AS REAL) * 100 / COUNT(T1.bioguide_id) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE CAST(T1.birthday_bio AS DATE) <= 1975; |
[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 twitter name of the legislator whose birthday was on 5/27/1946? [/INST] | SELECT T2.twitter FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.birthday_bio = '1946-05-27'; |
[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: State the opensecrets_id of the legislator whose YouTube name is Bluetkemeyer. [/INST] | SELECT T1.opensecrets_id FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T2.youtube = 'BLuetkemeyer'; |
[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: Mention the username of Facebook of Ralph Abraham. [/INST] | SELECT T2.facebook FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.first_name = 'Ralph' AND T1.last_name = 'Abraham'; |
[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 first name of the legislator whose address at 1005 Longworth HOB; Washington DC 20515-1408? [/INST] | SELECT T1.first_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.address = '1005 Longworth HOB Washington DC 20515-1408' GROUP BY T1.first_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 Instagram name of the legislator whose birthday was on 8/24/1952? [/INST] | SELECT T1.instagram FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T2.birthday_bio = '1952-08-24'; |
[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: State number of legislators who are not the senator among female legislators. [/INST] | SELECT COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'F' AND (T2.class IS NULL OR T2.class = ''); |
[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 religion of the legislator whose YouTube name is MaxineWaters. [/INST] | SELECT T2.religion_bio FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T1.youtube = 'MaxineWaters'; |
[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 minority leaders have not been registered in Federal Election Commission data? [/INST] | SELECT COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.title = 'Minority Leader' AND (T1.fec_id IS NULL OR T1.fec_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 of the legislators are male? [/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: Provide the facebook ID of the facebook account named "RepWilson". [/INST] | SELECT facebook_id FROM `social-media` WHERE facebook = 'RepWilson'; |
[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 total number of legislators with "John" as their first name? [/INST] | SELECT COUNT(*) FROM current WHERE first_name = 'John'; |
[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 district numbers with an Anti-Administration party. [/INST] | SELECT district FROM `historical-terms` WHERE party = 'Anti-Administration' GROUP BY 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: List the full name of legislators whose born in 1960. [/INST] | SELECT official_full_name FROM current WHERE birthday_bio LIKE '1960%'; |
[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 Benjamin Hawkins? [/INST] | SELECT google_entity_id_id FROM historical WHERE first_name = 'Benjamin' AND last_name = 'Hawkins'; |
[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: Who is the Pro-Administration senator that runs from March 4, 1789 to December 31, 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 T2.start = '1789-03-04' AND T2.end = '1791-12-31'; |
[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 first and last name of the representatives of the house in district 9? [/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.district = 9; |
[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 full name of the legislators with an 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: List down the open secrets and thomas ID of the democrat senators of New Jersey. [/INST] | SELECT T1.opensecrets_id, T1.thomas_id FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.type = 'sen' AND T2.state = 'NJ' GROUP BY T1.opensecrets_id, T1.thomas_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: Provide the google entity ID of the senators in New York. [/INST] | SELECT T1.google_entity_id_id FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.type = 'sen' AND T2.state = 'NY'; |
[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 religion of the legislator with RSS url of http://www.corker.senate.gov/public/index.cfm/rss/feed. [/INST] | SELECT T1.religion_bio FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.rss_url = 'http://www.corker.senate.gov/public/index.cfm/rss/feed' GROUP BY T1.religion_bio; |
[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 party of the legislator named Susan M. Collins? [/INST] | SELECT T2.party FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Susan M. Collins' GROUP BY 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: List down the district number of the representative of the house named Jonathan Grout. [/INST] | SELECT T2.district FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.last_name = 'Grout' AND T1.first_name = 'Jonathan' AND T2.type = 'rep'; |
[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 party and state of the legislator that has an open secrets ID of N00003689 and thomas ID of 186? [/INST] | SELECT T2.party, T2.state FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.opensecrets_id = 'N00003689' AND T1.thomas_id = 186 GROUP BY T2.party, T2.state; |
[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 and birth date of the legislator with a contact form of http://www.brown.senate.gov/contact/. [/INST] | SELECT T1.official_full_name, T1.birthday_bio FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.contact_form = 'http://www.brown.senate.gov/contact/'; |
[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 state and type of term of the legislator with the google entity ID of kg:/m/02pyzk. [/INST] | SELECT T2.state, T2.type FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.google_entity_id_id = 'kg:/m/02pyzk'; |
[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 type and end date of the term of the legislator named John Vining. [/INST] | SELECT T2.type, T2.end FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name = 'John' AND T1.last_name = 'Vining'; |
[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: Find the difference between the number of female senators and representatives born between 1930 to 1970. [/INST] | SELECT SUM(CASE WHEN T2.type = 'sen' THEN 1 ELSE 0 END) - SUM(CASE WHEN T2.type = 'rep' THEN 1 ELSE 0 END) FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'F' AND strftime('%Y', T1.birthday_bio) BETWEEN '1930' AND '1970'; |
[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 male legislators born between 1955 to 1965, what is the percentage of the legislators with an independent party? [/INST] | SELECT CAST(SUM(CASE WHEN T2.party = 'Independent' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.party) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'M' AND strftime('%Y', T1.birthday_bio) BETWEEN '1955' AND '1965'; |
[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 name of the legislator with the ID of W000059? [/INST] | SELECT first_name, last_name FROM historical WHERE bioguide_id = 'W000059'; |
[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: Does Thomas Carnes have an account on ballotpedia.org? [/INST] | SELECT CASE WHEN ballotpedia_id IS NULL THEN 'doesn''t have' ELSE 'have' END AS HaveorNot FROM historical WHERE first_name = 'Thomas' AND last_name = 'Carnes'; |
[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 were born in 1736? [/INST] | SELECT COUNT(bioguide_id) FROM historical WHERE birthday_bio LIKE '1736%'; |
[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 legislators are woman? [/INST] | SELECT first_name, last_name 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 districts are in Idaho? [/INST] | SELECT COUNT(district) FROM `current-terms` WHERE state = '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 legislators are not senator? [/INST] | SELECT COUNT(bioguide) FROM `current-terms` WHERE class 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: What is the ratio between male and female 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: Calculate the percentage of famous_legislatorss. [/INST] | SELECT CAST(SUM(CASE WHEN wikipedia_id IS NOT NULL THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(bioguide_id) 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: Which legislators do not have instagram account? [/INST] | SELECT T1.first_name, T1.last_name FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.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: List all the representatives in 1789 along with the districts and state. [/INST] | SELECT T2.district, T2.state FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.start LIKE '1789%'; |
[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: State all the district that Benjamin Contee has served before. [/INST] | SELECT T2.district FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name = 'Benjamin' AND T1.last_name = 'Contee'; |
[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: State the address of Amy Klobuchar at the term of 4th of January 2001. [/INST] | SELECT T2.address FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name = 'Amy' AND T1.last_name = 'Klobuchar' AND T2.start = '2001-04-01'; |
[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: List all the junior senators in 1997. [/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.start LIKE '1997%' AND T2.state_rank = 'junior'; |
[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 female legislators become representatives for California in 2015? [/INST] | SELECT COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE STRFTIME('%Y', T2.start) = '2015' AND T2.state = 'CA' AND 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 Twitter ID of Emanuel Cleaver? [/INST] | SELECT T1.twitter_id FROM `social-media` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.first_name = 'Emanuel' AND T2.last_name = 'Cleaver'; |
[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: State all the Facebook ID for current legislators under the democrat party. [/INST] | SELECT T2.facebook_id FROM `current-terms` AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide = T2.bioguide WHERE T1.party = 'Democrat' GROUP BY T2.facebook_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: Which historical female legislator that have their term ended on the 3rd of March 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.end = '1791-03-03' AND 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: List all the Jewish current legislators that had served in Florida. [/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 T1.religion_bio = 'Jewish' AND T2.state = 'FL' GROUP BY T1.first_name, 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: What is the ratio between famous current legislators and famous historical legislators? [/INST] | SELECT CAST(COUNT(CASE WHEN wikipedia_id IS NOT NULL THEN bioguide_id ELSE 0 END) AS REAL) * 100 / ( SELECT COUNT(CASE WHEN wikipedia_id IS NOT NULL THEN bioguide_id ELSE 0 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: Based on the number of current legislators, calculate the percentage of legislators that served in 21st-Century. [/INST] | SELECT CAST(SUM(CASE WHEN strftime('%Y', T2.start) BETWEEN '2000' AND '2017' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.bioguide_id) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide; |
[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 Catholic legislators do not have an account on ballotpedia.org? [/INST] | SELECT COUNT(bioguide_id) FROM historical WHERE religion_bio = 'Catholic' AND 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: How many class 1 senators belong to the Republican party? [/INST] | SELECT COUNT(bioguide) FROM `current-terms` WHERE class = 1 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: What are the full names of the non-google female entity legislators that have not been registered in Federal Election Commission data? [/INST] | SELECT first_name, last_name FROM historical WHERE gender_bio = 'F' AND google_entity_id_id IS NULL AND fec_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: In California, how many representatives ended their term in 1995? [/INST] | SELECT COUNT(*) FROM `current-terms` WHERE state = 'CA' AND type = 'rep' AND end LIKE '1995%'; |
[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 full name of the oldest legislator? [/INST] | SELECT first_name, last_name FROM historical 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: List all of the ids of the representatives belonging to the Democrat party in district 13 that ended their term on 1/3/2019? [/INST] | SELECT bioguide FROM `current-terms` WHERE type = 'rep' AND party = 'Democrat' AND end = '2019-01-03' AND district = 13; |
[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 official Twitter handle of Jason Lewis? [/INST] | SELECT T2.twitter FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Jason Lewis'; |
[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 Independent senators that started their term in 2011 and onwards, what are the official full names of the senators that caucused with the Democrat? [/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' AND strftime('%Y', T2.start) >= '2011' AND T2.type = 'sen' AND T2.caucus = '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: How many Jewish legislators do not have facebook? [/INST] | SELECT COUNT(T3.bioguide_id) FROM ( SELECT T1.bioguide_id FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.facebook IS NULL GROUP BY T1.bioguide_id ) T3; |
[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 has the highest number of legislators who are Baptist? [/INST] | SELECT T2.party FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.religion_bio = 'Baptist' GROUP BY T2.party ORDER BY COUNT(T2.party) DESC 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: List the official full names of all the legislators who have facebook, instagram, twitter and youtube accounts. [/INST] | SELECT T1.official_full_name FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.facebook IS NOT NULL AND T2.instagram IS NOT NULL AND T2.twitter IS NOT NULL AND T2.youtube 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: How many districts did John Conyers, Jr. serve in total? [/INST] | SELECT COUNT(T3.district) FROM ( SELECT T2.district FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'John Conyers, Jr.' GROUP BY T2.district ) T3; |
[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 Wikipedia page names of all the anti-administration senators? [/INST] | SELECT T1.wikipedia_id FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.type = 'sen' AND T2.party = 'Anti-Administration'; |
[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 all the legislators that served 13 district for 26 consecutive years. [/INST] | SELECT DISTINCT CASE WHEN SUM(CAST(strftime('%Y', T2.end) AS int) - CAST(strftime('%Y', T2.start) AS int)) = 26 THEN T1.official_full_name END FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide GROUP BY T1.official_full_name, T2.district HAVING COUNT(T1.official_full_name) = 13; |
[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 Federalist representatives are there whose first names are Benjamin? [/INST] | SELECT COUNT(T.bioguide_id) FROM ( SELECT T1.bioguide_id FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name = 'Benjamin' AND T2.party = 'Federalist' AND T2.type = 'rep' GROUP BY T1.bioguide_id ) AS T; |
[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 female representatives served in the state of California for at least 10 years? [/INST] | SELECT SUM(T3.result) FROM ( SELECT CASE WHEN SUM(CAST(strftime('%Y', T2.`end`) AS int) - CAST(strftime('%Y', T2.start) AS int)) > 10 THEN 1 ELSE 0 END AS result FROM current AS T1 INNER JOIN "current-terms" AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'F' AND T2.state = 'CA' AND T2.type = 'rep' ) AS T3; |
[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 party of the oldest legislator? [/INST] | SELECT T1.party FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide ORDER BY T2.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: Who is the Lutheran representative that served in the state of Ohio for 14 years before becoming a senator? [/INST] | SELECT CASE WHEN SUM(CAST(strftime('%Y', T2.end) AS int) - CAST(strftime('%Y', T2.start) AS int)) = 14 THEN official_full_name END FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.religion_bio = 'Lutheran' AND T2.state = 'OH' AND T2.type = 'rep'; |
[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 born after the year 1960, how many of them are not google entities? [/INST] | SELECT COUNT(*) FROM current WHERE strftime('%Y', birthday_bio) > '1960' AND google_entity_id_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 have served in the U.S. House. [/INST] | SELECT official_full_name FROM current WHERE house_history_id 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: How many current legislators have both accounts on both VoteView.com and maplight.org? [/INST] | SELECT COUNT(*) FROM current WHERE icpsr_id IS NOT NULL AND maplight_id 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: Among all the current female legislators, how many of them have attended in Senate roll call votes? [/INST] | SELECT COUNT(lis_id) FROM current WHERE gender_bio = 'F' AND lis_id 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: What is the religion of current legislator Sherrod Brown? [/INST] | SELECT religion_bio 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: What is the religion with the most occurrrence of the current legislators? [/INST] | SELECT religion_bio FROM current GROUP BY religion_bio ORDER BY COUNT(religion_bio) DESC 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 current official Instagram handle of current legislator Bob Corker? [/INST] | SELECT T2.instagram FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Bob Corker'; |
[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 accounts on both http://thomas.gov, how many of them have accounts on instagram? [/INST] | SELECT COUNT(DISTINCT T1.bioguide_id) FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.thomas_id IS NOT NULL AND T2.instagram 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: Please list the username of the current official Facebook presence of all the current legislators that are famous or impact. [/INST] | SELECT T2.facebook FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.wikipedia_id IS NOT NULL GROUP BY T2.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: For how many terms have the oldest current legislator served? [/INST] | SELECT COUNT(T2.bioguide) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.birthday_bio = ( SELECT MIN(birthday_bio) 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: What was current legislator Sherrod Brown's Washington, D.C. office phone number during his term starting on 2013/1/3? [/INST] | SELECT T1.phone FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.official_full_name = 'Sherrod Brown' AND T1.start = '2013-01-03'; |
[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 Sherrod Brown has been in the Democrat party during how many terms that he has 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' 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: Please list the full official names of all the current legislators who served the term that started on 2013/1/3. [/INST] | SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.start = '2013-01-03'; |
[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 served the term starting on 2013/1/3, how many of them are female? [/INST] | SELECT COUNT(*) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.start = '2013-01-03' AND 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 full official name of the current legislator that has served for the most number of terms? [/INST] | SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide GROUP BY T1.official_full_name, T2.bioguide ORDER BY COUNT(T2.bioguide) DESC 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: For how many terms has current legislator Sherrod Brown served as a representative for district no.13? [/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' AND T2.district = 13; |
[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 official full name of the current legislator whose current official Facebook presence is "senjoniernst"? [/INST] | SELECT T1.official_full_name FROM current AS T1 INNER JOIN `social-media` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.facebook = 'senjoniernst'; |
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