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CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Provide the facebook ID of the facebook account named "RepWilson". | SELECT facebook_id FROM `social-media` WHERE facebook = 'RepWilson' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What is the total number of legislators with "John" as their first name? | SELECT COUNT(*) FROM current WHERE first_name = 'John' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Give the district numbers with an Anti-Administration party. | SELECT district FROM `historical-terms` WHERE party = 'Anti-Administration' GROUP BY district | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | List the full name of legislators whose born in 1960. | SELECT official_full_name FROM current WHERE birthday_bio LIKE '1960%' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What is the google entity ID of Benjamin Hawkins? | SELECT google_entity_id_id FROM historical WHERE first_name = 'Benjamin' AND last_name = 'Hawkins' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Who is the Pro-Administration senator that runs from March 4, 1789 to December 31, 1791? | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What are the first and last name of the representatives of the house in district 9? | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Give the full name of the legislators with an independent party. | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | List down the open secrets and thomas ID of the democrat senators of New Jersey. | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Provide the google entity ID of the senators in New York. | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Give the religion of the legislator with RSS url of http://www.corker.senate.gov/public/index.cfm/rss/feed. | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What is the party of the legislator named Susan M. Collins? | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | List down the district number of the representative of the house named Jonathan Grout. | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What is the party and state of the legislator that has an open secrets ID of N00003689 and thomas ID of 186? | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Provide the full name and birth date of the legislator with a contact form of http://www.brown.senate.gov/contact/. | 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/' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Give the state and type of term of the legislator with the google entity ID of kg:/m/02pyzk. | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Provide the type and end date of the term of the legislator named John Vining. | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Find the difference between the number of female senators and representatives born between 1930 to 1970. | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Among the male legislators born between 1955 to 1965, what is the percentage of the legislators with an independent party? | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What is the name of the legislator with the ID of W000059? | SELECT first_name, last_name FROM historical WHERE bioguide_id = 'W000059' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Does Thomas Carnes have an account on ballotpedia.org? | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | How many legislators were born in 1736? | SELECT COUNT(bioguide_id) FROM historical WHERE birthday_bio LIKE '1736%' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Which legislators are woman? | SELECT first_name, last_name FROM historical WHERE gender_bio = 'F' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | How many districts are in Idaho? | SELECT COUNT(district) FROM `current-terms` WHERE state = 'ID' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | How many legislators are not senator? | SELECT COUNT(bioguide) FROM `current-terms` WHERE class IS NULL | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What is the ratio between male and female legislators? | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Calculate the percentage of famous_legislatorss. | SELECT CAST(SUM(CASE WHEN wikipedia_id IS NOT NULL THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(bioguide_id) FROM historical | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Which legislators do not have instagram account? | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | List all the representatives in 1789 along with the districts and state. | 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%' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | State all the district that Benjamin Contee has served before. | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | State the address of Amy Klobuchar at the term of 4th of January 2001. | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | List all the junior senators in 1997. | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | How many female legislators become representatives for California in 2015? | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What is the Twitter ID of Emanuel Cleaver? | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | State all the Facebook ID for current legislators under the democrat party. | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Which historical female legislator that have their term ended on the 3rd of March 1791? | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | List all the Jewish current legislators that had served in Florida. | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What is the ratio between famous current legislators and famous historical legislators? | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Based on the number of current legislators, calculate the percentage of legislators that served in 21st-Century. | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | How many Catholic legislators do not have an account on ballotpedia.org? | SELECT COUNT(bioguide_id) FROM historical WHERE religion_bio = 'Catholic' AND ballotpedia_id IS NULL | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | How many class 1 senators belong to the Republican party? | SELECT COUNT(bioguide) FROM `current-terms` WHERE class = 1 AND party = 'Republican' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What are the full names of the non-google female entity legislators that have not been registered in Federal Election Commission data? | SELECT first_name, last_name FROM historical WHERE gender_bio = 'F' AND google_entity_id_id IS NULL AND fec_id IS NULL | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | In California, how many representatives ended their term in 1995? | SELECT COUNT(*) FROM `current-terms` WHERE state = 'CA' AND type = 'rep' AND end LIKE '1995%' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What is the full name of the oldest legislator? | SELECT first_name, last_name FROM historical ORDER BY birthday_bio LIMIT 1 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | List all of the ids of the representatives belonging to the Democrat party in district 13 that ended their term on 1/3/2019? | SELECT bioguide FROM `current-terms` WHERE type = 'rep' AND party = 'Democrat' AND end = '2019-01-03' AND district = 13 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What is the official Twitter handle of Jason Lewis? | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | 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? | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | How many Jewish legislators do not have facebook? | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Which party has the highest number of legislators who are Baptist? | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | List the official full names of all the legislators who have facebook, instagram, twitter and youtube accounts. | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | How many districts did John Conyers, Jr. serve in total? | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What are the Wikipedia page names of all the anti-administration senators? | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | List the official full names of all the legislators that served 13 district for 26 consecutive years. | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | How many Federalist representatives are there whose first names are Benjamin? | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | How many female representatives served in the state of California for at least 10 years? | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What is the party of the oldest legislator? | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Who is the Lutheran representative that served in the state of Ohio for 14 years before becoming a senator? | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Among all the current legislators born after the year 1960, how many of them are not google entities? | SELECT COUNT(*) FROM current WHERE strftime('%Y', birthday_bio) > '1960' AND google_entity_id_id IS NULL | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, 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 list the official full names of all the current legislators who have served in the U.S. House. | SELECT official_full_name FROM current WHERE house_history_id IS NOT NULL | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | How many current legislators have both accounts on both VoteView.com and maplight.org? | SELECT COUNT(*) FROM current WHERE icpsr_id IS NOT NULL AND maplight_id IS NOT NULL | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Among all the current female legislators, how many of them have attended in Senate roll call votes? | SELECT COUNT(lis_id) FROM current WHERE gender_bio = 'F' AND lis_id IS NOT NULL | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What is the religion of current legislator Sherrod Brown? | SELECT religion_bio FROM current WHERE official_full_name = 'Sherrod Brown' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What is the religion with the most occurrrence of the current legislators? | SELECT religion_bio FROM current GROUP BY religion_bio ORDER BY COUNT(religion_bio) DESC LIMIT 1 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What is the current official Instagram handle of current legislator Bob Corker? | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Among the current legislators who have accounts on both http://thomas.gov, how many of them have accounts on instagram? | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, 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 list the username of the current official Facebook presence of all the current legislators that are famous or impact. | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | For how many terms have the oldest current legislator served? | 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 ) | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What was current legislator Sherrod Brown's Washington, D.C. office phone number during his term starting on 2013/1/3? | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Current legislator Sherrod Brown has been in the Democrat party during how many terms that he has served? | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, 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 list the full official names of all the current legislators who served the term that started on 2013/1/3. | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Among the current legislators who served the term starting on 2013/1/3, how many of them are female? | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What is the full official name of the current legislator that has served for the most number of terms? | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | For how many terms has current legislator Sherrod Brown served as a representative for district no.13? | 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 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What is the official full name of the current legislator whose current official Facebook presence is "senjoniernst"? | 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' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Which current legislator has served for more terms, Sherrod Brown or Maria Cantwell? | SELECT CASE WHEN SUM(CASE WHEN T1.official_full_name = 'Maria Cantwell' THEN 1 ELSE 0 END) > SUM(CASE WHEN T1.official_full_name = 'Sherrod Brown' THEN 1 ELSE 0 END) THEN 'Maria Cantwell' ELSE 'Sherrod Brown' END FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Among all the current legislators who have served for more than 4 terms, what is the percentage of them being female? | SELECT CAST(SUM(CASE WHEN gender_bio = 'F' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T3.bioguide) FROM ( SELECT T2.bioguide, T1.gender_bio FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide GROUP BY T2.bioguide HAVING COUNT(T2.bioguide) > 4 ) T3 | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What is the average number of terms served for a current legislator that's famous or impact? | SELECT CAST(COUNT(T2.bioguide) AS REAL) / COUNT(DISTINCT T1.bioguide_id) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.wikipedia_id IS NOT NULL | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | How many of the legislators are female? | SELECT COUNT(gender_bio) FROM current WHERE gender_bio = 'F' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What is the total number of senators New Jersey have? | SELECT COUNT(type) FROM `historical-terms` WHERE state = 'NJ' AND type = 'rep' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Provide the address of the legislator with the contact form of http://www.carper.senate.gov/contact/. | SELECT address FROM `current-terms` WHERE contact_form = 'http://www.carper.senate.gov/contact/' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Provide the Instagram username of the legislator named Benjamin Hawkins. | SELECT T1.instagram FROM `social-media` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.first_name = 'Benjamin' AND T2.last_name = 'Hawkins' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Give the alphanumeric ID of the Catholic legislators in Nebraska. | SELECT T1.bioguide FROM `current-terms` AS T1 INNER JOIN current AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.religion_bio = 'Catholic' AND T1.state = 'NE' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | List down the MapLight ID of the representatives in Maine. | SELECT T1.maplight_id FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.type = 'rep' AND T2.state = 'ME' GROUP BY T1.maplight_id | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Give the type and start date of the term of the legislator born on November 26, 1727. | SELECT T2.type, T2.start FROM historical AS T1 INNER JOIN `historical-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.birthday_bio = '1727-11-26' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | What is the contact form of the legislator named Rick Crawford? | SELECT T2.contact_form FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Rick Crawford' | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | How many female representatives are there in Michigan? | SELECT COUNT(T.bioguide_id) FROM ( SELECT T1.bioguide_id FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.type = 'rep' AND T2.state = 'MI' AND T1.gender_bio = 'F' GROUP BY T1.bioguide_id ) T | bird |
CREATE TABLE legislator (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, address text, bioguide text, 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, ballotpedia_id text, bioguide_id text, 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, address text, bioguide text, 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, bioguide text, facebook text, facebook_id real, govtrack real, instagram text, instagram_id real, thomas integer, twitter text, twitter_id real, youtube text, youtube_id text) | Among the female legislators, what is the percentage of the senators in Maine? | SELECT CAST(SUM(CASE WHEN T2.type = 'sen' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.type) FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.state = 'ME' AND T1.gender_bio = 'F' | bird |
CREATE TABLE olympics (id integer, city_name text, id integer, games_year integer, games_name text, season text, games_id integer, city_id integer, id integer, medal_name text, id integer, noc text, region_name text, id integer, full_name text, gender text, height integer, weight integer, id integer, games_id integer, person_id integer, age integer, person_id integer, region_id integer, id integer, sport_name text, id integer, sport_id integer, event_name text, event_id integer, competitor_id integer, medal_id integer) | Please list the names of all the Olympic games that John Aalberg has taken part in. | SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'John Aalberg' | bird |
CREATE TABLE olympics (id integer, city_name text, id integer, games_year integer, games_name text, season text, games_id integer, city_id integer, id integer, medal_name text, id integer, noc text, region_name text, id integer, full_name text, gender text, height integer, weight integer, id integer, games_id integer, person_id integer, age integer, person_id integer, region_id integer, id integer, sport_name text, id integer, sport_id integer, event_name text, event_id integer, competitor_id integer, medal_id integer) | What was the name of the Olympic game that John Aalberg took part in when he was 31? | SELECT T1.games_name FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'John Aalberg' AND T2.age = 31 | bird |
CREATE TABLE olympics (id integer, city_name text, id integer, games_year integer, games_name text, season text, games_id integer, city_id integer, id integer, medal_name text, id integer, noc text, region_name text, id integer, full_name text, gender text, height integer, weight integer, id integer, games_id integer, person_id integer, age integer, person_id integer, region_id integer, id integer, sport_name text, id integer, sport_id integer, event_name text, event_id integer, competitor_id integer, medal_id integer) | When John Aalberg took part in the 1994 Winter Olympic Game, how old was he? | SELECT T2.age FROM games AS T1 INNER JOIN games_competitor AS T2 ON T1.id = T2.games_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'John Aalberg' AND T1.games_name = '1994 Winter' | bird |
CREATE TABLE olympics (id integer, city_name text, id integer, games_year integer, games_name text, season text, games_id integer, city_id integer, id integer, medal_name text, id integer, noc text, region_name text, id integer, full_name text, gender text, height integer, weight integer, id integer, games_id integer, person_id integer, age integer, person_id integer, region_id integer, id integer, sport_name text, id integer, sport_id integer, event_name text, event_id integer, competitor_id integer, medal_id integer) | How many Olympic competitors are from Finland? | SELECT COUNT(T1.person_id) FROM person_region AS T1 INNER JOIN noc_region AS T2 ON T1.region_id = T2.id WHERE T2.region_name = 'Finland' | bird |
CREATE TABLE olympics (id integer, city_name text, id integer, games_year integer, games_name text, season text, games_id integer, city_id integer, id integer, medal_name text, id integer, noc text, region_name text, id integer, full_name text, gender text, height integer, weight integer, id integer, games_id integer, person_id integer, age integer, person_id integer, region_id integer, id integer, sport_name text, id integer, sport_id integer, event_name text, event_id integer, competitor_id integer, medal_id integer) | Please list the names of all the Olympic competitors from Finland. | SELECT T3.full_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Finland' | bird |
CREATE TABLE olympics (id integer, city_name text, id integer, games_year integer, games_name text, season text, games_id integer, city_id integer, id integer, medal_name text, id integer, noc text, region_name text, id integer, full_name text, gender text, height integer, weight integer, id integer, games_id integer, person_id integer, age integer, person_id integer, region_id integer, id integer, sport_name text, id integer, sport_id integer, event_name text, event_id integer, competitor_id integer, medal_id integer) | The Olympic competitor John Aalberg is from which region? | SELECT T1.region_name FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.full_name = 'John Aalberg' | bird |
CREATE TABLE olympics (id integer, city_name text, id integer, games_year integer, games_name text, season text, games_id integer, city_id integer, id integer, medal_name text, id integer, noc text, region_name text, id integer, full_name text, gender text, height integer, weight integer, id integer, games_id integer, person_id integer, age integer, person_id integer, region_id integer, id integer, sport_name text, id integer, sport_id integer, event_name text, event_id integer, competitor_id integer, medal_id integer) | What is the NOC code of the region where the tallest male Olympic competitor is from? | SELECT T1.noc FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T3.gender = 'M' ORDER BY T3.height DESC LIMIT 1 | bird |
CREATE TABLE olympics (id integer, city_name text, id integer, games_year integer, games_name text, season text, games_id integer, city_id integer, id integer, medal_name text, id integer, noc text, region_name text, id integer, full_name text, gender text, height integer, weight integer, id integer, games_id integer, person_id integer, age integer, person_id integer, region_id integer, id integer, sport_name text, id integer, sport_id integer, event_name text, event_id integer, competitor_id integer, medal_id integer) | Among all the Olympic competitors from Finland, how many of them are female? | SELECT COUNT(T3.id) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Finland' AND T3.gender = 'F' | bird |
CREATE TABLE olympics (id integer, city_name text, id integer, games_year integer, games_name text, season text, games_id integer, city_id integer, id integer, medal_name text, id integer, noc text, region_name text, id integer, full_name text, gender text, height integer, weight integer, id integer, games_id integer, person_id integer, age integer, person_id integer, region_id integer, id integer, sport_name text, id integer, sport_id integer, event_name text, event_id integer, competitor_id integer, medal_id integer) | In which city was the 1992 Summer Olympic Games held? | SELECT T2.city_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T3.games_name = '1992 Summer' | bird |
CREATE TABLE olympics (id integer, city_name text, id integer, games_year integer, games_name text, season text, games_id integer, city_id integer, id integer, medal_name text, id integer, noc text, region_name text, id integer, full_name text, gender text, height integer, weight integer, id integer, games_id integer, person_id integer, age integer, person_id integer, region_id integer, id integer, sport_name text, id integer, sport_id integer, event_name text, event_id integer, competitor_id integer, medal_id integer) | Please list the names of the Olympic games that were held in London. | SELECT T3.games_name FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'London' | bird |
CREATE TABLE olympics (id integer, city_name text, id integer, games_year integer, games_name text, season text, games_id integer, city_id integer, id integer, medal_name text, id integer, noc text, region_name text, id integer, full_name text, gender text, height integer, weight integer, id integer, games_id integer, person_id integer, age integer, person_id integer, region_id integer, id integer, sport_name text, id integer, sport_id integer, event_name text, event_id integer, competitor_id integer, medal_id integer) | In which year did London hold its earliest Olympic game? | SELECT T3.games_year FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id INNER JOIN games AS T3 ON T1.games_id = T3.id WHERE T2.city_name = 'London' ORDER BY T3.games_year LIMIT 1 | bird |
CREATE TABLE olympics (id integer, city_name text, id integer, games_year integer, games_name text, season text, games_id integer, city_id integer, id integer, medal_name text, id integer, noc text, region_name text, id integer, full_name text, gender text, height integer, weight integer, id integer, games_id integer, person_id integer, age integer, person_id integer, region_id integer, id integer, sport_name text, id integer, sport_id integer, event_name text, event_id integer, competitor_id integer, medal_id integer) | For how many times has London held the Olympic games? | SELECT COUNT(T1.games_id) FROM games_city AS T1 INNER JOIN city AS T2 ON T1.city_id = T2.id WHERE T2.city_name = 'London' | bird |
CREATE TABLE olympics (id integer, city_name text, id integer, games_year integer, games_name text, season text, games_id integer, city_id integer, id integer, medal_name text, id integer, noc text, region_name text, id integer, full_name text, gender text, height integer, weight integer, id integer, games_id integer, person_id integer, age integer, person_id integer, region_id integer, id integer, sport_name text, id integer, sport_id integer, event_name text, event_id integer, competitor_id integer, medal_id integer) | What is the average height of the male Olympic competitors from Finland? | SELECT AVG(T3.height) FROM noc_region AS T1 INNER JOIN person_region AS T2 ON T1.id = T2.region_id INNER JOIN person AS T3 ON T2.person_id = T3.id WHERE T1.region_name = 'Finland' AND T3.gender = 'M' | bird |
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