1sf/bird-sql-train-with-schema huggingface dataset:
Database: legislator
Tables: current, current-terms, historical, historical-terms, social-media
Columns (table index, column name): -1, *, 0, ballotpedia_id, 0, bioguide_id, 0, birthday_bio, 0, cspan_id, 0, fec_id, 0, first_name, 0, gender_bio, 0, google_entity_id_id, 0, govtrack_id, 0, house_history_id, 0, icpsr_id, 0, last_name, 0, lis_id, 0, maplight_id, 0, middle_name, 0, nickname_name, 0, official_full_name, 0, opensecrets_id, 0, religion_bio, 0, suffix_name, 0, thomas_id, 0, votesmart_id, 0, wikidata_id, 0, wikipedia_id, 1, address, 1, bioguide, 1, caucus, 1, chamber, 1, class, 1, contact_form, 1, district, 1, end, 1, fax, 1, last, 1, name, 1, office, 1, party, 1, party_affiliations, 1, phone, 1, relation, 1, rss_url, 1, start, 1, state, 1, state_rank, 1, title, 1, type, 1, url, 2, ballotpedia_id, 2, bioguide_id, 2, bioguide_previous_id, 2, birthday_bio, 2, cspan_id, 2, fec_id, 2, first_name, 2, gender_bio, 2, google_entity_id_id, 2, govtrack_id, 2, house_history_alternate_id, 2, house_history_id, 2, icpsr_id, 2, last_name, 2, lis_id, 2, maplight_id, 2, middle_name, 2, nickname_name, 2, official_full_name, 2, opensecrets_id, 2, religion_bio, 2, suffix_name, 2, thomas_id, 2, votesmart_id, 2, wikidata_id, 2, wikipedia_id, 3, address, 3, bioguide, 3, chamber, 3, class, 3, contact_form, 3, district, 3, end, 3, fax, 3, last, 3, middle, 3, name, 3, office, 3, party, 3, party_affiliations, 3, phone, 3, relation, 3, rss_url, 3, start, 3, state, 3, state_rank, 3, title, 3, type, 3, url, 4, bioguide, 4, facebook, 4, facebook_id, 4, govtrack, 4, instagram, 4, instagram_id, 4, thomas, 4, twitter, 4, twitter_id, 4, youtube, 4, youtube_id
Question: How many female representatives served in the state of California for at least 10 years?
Evidence: female refers to gender_bio = 'F'; representatives refers to type = 'rep'; served for at least 10 years refers to SUBTRACT(SUM(CAST(strftime('%Y', end)), CAST(strftime('%Y', start)))) > 10;
SQL: 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
Database: legislator
Tables: current, current-terms, historical, historical-terms, social-media
Columns (table index, column name): -1, *, 0, ballotpedia_id, 0, bioguide_id, 0, birthday_bio, 0, cspan_id, 0, fec_id, 0, first_name, 0, gender_bio, 0, google_entity_id_id, 0, govtrack_id, 0, house_history_id, 0, icpsr_id, 0, last_name, 0, lis_id, 0, maplight_id, 0, middle_name, 0, nickname_name, 0, official_full_name, 0, opensecrets_id, 0, religion_bio, 0, suffix_name, 0, thomas_id, 0, votesmart_id, 0, wikidata_id, 0, wikipedia_id, 1, address, 1, bioguide, 1, caucus, 1, chamber, 1, class, 1, contact_form, 1, district, 1, end, 1, fax, 1, last, 1, name, 1, office, 1, party, 1, party_affiliations, 1, phone, 1, relation, 1, rss_url, 1, start, 1, state, 1, state_rank, 1, title, 1, type, 1, url, 2, ballotpedia_id, 2, bioguide_id, 2, bioguide_previous_id, 2, birthday_bio, 2, cspan_id, 2, fec_id, 2, first_name, 2, gender_bio, 2, google_entity_id_id, 2, govtrack_id, 2, house_history_alternate_id, 2, house_history_id, 2, icpsr_id, 2, last_name, 2, lis_id, 2, maplight_id, 2, middle_name, 2, nickname_name, 2, official_full_name, 2, opensecrets_id, 2, religion_bio, 2, suffix_name, 2, thomas_id, 2, votesmart_id, 2, wikidata_id, 2, wikipedia_id, 3, address, 3, bioguide, 3, chamber, 3, class, 3, contact_form, 3, district, 3, end, 3, fax, 3, last, 3, middle, 3, name, 3, office, 3, party, 3, party_affiliations, 3, phone, 3, relation, 3, rss_url, 3, start, 3, state, 3, state_rank, 3, title, 3, type, 3, url, 4, bioguide, 4, facebook, 4, facebook_id, 4, govtrack, 4, instagram, 4, instagram_id, 4, thomas, 4, twitter, 4, twitter_id, 4, youtube, 4, youtube_id
Question: What is the party of the oldest legislator?
Evidence: oldest legislator refers to MIN(birthday_bio);
SQL: 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
Database: legislator
Tables: current, current-terms, historical, historical-terms, social-media
Columns (table index, column name): -1, *, 0, ballotpedia_id, 0, bioguide_id, 0, birthday_bio, 0, cspan_id, 0, fec_id, 0, first_name, 0, gender_bio, 0, google_entity_id_id, 0, govtrack_id, 0, house_history_id, 0, icpsr_id, 0, last_name, 0, lis_id, 0, maplight_id, 0, middle_name, 0, nickname_name, 0, official_full_name, 0, opensecrets_id, 0, religion_bio, 0, suffix_name, 0, thomas_id, 0, votesmart_id, 0, wikidata_id, 0, wikipedia_id, 1, address, 1, bioguide, 1, caucus, 1, chamber, 1, class, 1, contact_form, 1, district, 1, end, 1, fax, 1, last, 1, name, 1, office, 1, party, 1, party_affiliations, 1, phone, 1, relation, 1, rss_url, 1, start, 1, state, 1, state_rank, 1, title, 1, type, 1, url, 2, ballotpedia_id, 2, bioguide_id, 2, bioguide_previous_id, 2, birthday_bio, 2, cspan_id, 2, fec_id, 2, first_name, 2, gender_bio, 2, google_entity_id_id, 2, govtrack_id, 2, house_history_alternate_id, 2, house_history_id, 2, icpsr_id, 2, last_name, 2, lis_id, 2, maplight_id, 2, middle_name, 2, nickname_name, 2, official_full_name, 2, opensecrets_id, 2, religion_bio, 2, suffix_name, 2, thomas_id, 2, votesmart_id, 2, wikidata_id, 2, wikipedia_id, 3, address, 3, bioguide, 3, chamber, 3, class, 3, contact_form, 3, district, 3, end, 3, fax, 3, last, 3, middle, 3, name, 3, office, 3, party, 3, party_affiliations, 3, phone, 3, relation, 3, rss_url, 3, start, 3, state, 3, state_rank, 3, title, 3, type, 3, url, 4, bioguide, 4, facebook, 4, facebook_id, 4, govtrack, 4, instagram, 4, instagram_id, 4, thomas, 4, twitter, 4, twitter_id, 4, youtube, 4, youtube_id
Question: Who is the Lutheran representative that served in the state of Ohio for 14 years before becoming a senator?
Evidence: Lutheran refers to religion_bio = 'Lutheran'; representative refers to type = 'rep'; served for 14 years refers to SUBTRACT(SUM(CAST(strftime('%Y', end)), CAST(strftime('%Y', start)))) = 14;
SQL: 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'
Database: legislator
Tables: current, current-terms, historical, historical-terms, social-media
Columns (table index, column name): -1, *, 0, ballotpedia_id, 0, bioguide_id, 0, birthday_bio, 0, cspan_id, 0, fec_id, 0, first_name, 0, gender_bio, 0, google_entity_id_id, 0, govtrack_id, 0, house_history_id, 0, icpsr_id, 0, last_name, 0, lis_id, 0, maplight_id, 0, middle_name, 0, nickname_name, 0, official_full_name, 0, opensecrets_id, 0, religion_bio, 0, suffix_name, 0, thomas_id, 0, votesmart_id, 0, wikidata_id, 0, wikipedia_id, 1, address, 1, bioguide, 1, caucus, 1, chamber, 1, class, 1, contact_form, 1, district, 1, end, 1, fax, 1, last, 1, name, 1, office, 1, party, 1, party_affiliations, 1, phone, 1, relation, 1, rss_url, 1, start, 1, state, 1, state_rank, 1, title, 1, type, 1, url, 2, ballotpedia_id, 2, bioguide_id, 2, bioguide_previous_id, 2, birthday_bio, 2, cspan_id, 2, fec_id, 2, first_name, 2, gender_bio, 2, google_entity_id_id, 2, govtrack_id, 2, house_history_alternate_id, 2, house_history_id, 2, icpsr_id, 2, last_name, 2, lis_id, 2, maplight_id, 2, middle_name, 2, nickname_name, 2, official_full_name, 2, opensecrets_id, 2, religion_bio, 2, suffix_name, 2, thomas_id, 2, votesmart_id, 2, wikidata_id, 2, wikipedia_id, 3, address, 3, bioguide, 3, chamber, 3, class, 3, contact_form, 3, district, 3, end, 3, fax, 3, last, 3, middle, 3, name, 3, office, 3, party, 3, party_affiliations, 3, phone, 3, relation, 3, rss_url, 3, start, 3, state, 3, state_rank, 3, title, 3, type, 3, url, 4, bioguide, 4, facebook, 4, facebook_id, 4, govtrack, 4, instagram, 4, instagram_id, 4, thomas, 4, twitter, 4, twitter_id, 4, youtube, 4, youtube_id
Question: Among all the current legislators born after the year 1960, how many of them are not google entities?
Evidence: born after the year 1960 refers to strftime('%Y', birthday_bio) > '1960'; not google entities refers to google_entity_id_id is null;
SQL: SELECT COUNT(*) FROM current WHERE strftime('%Y', birthday_bio) > '1960' AND google_entity_id_id IS NULL
Database: legislator
Tables: current, current-terms, historical, historical-terms, social-media
Columns (table index, column name): -1, *, 0, ballotpedia_id, 0, bioguide_id, 0, birthday_bio, 0, cspan_id, 0, fec_id, 0, first_name, 0, gender_bio, 0, google_entity_id_id, 0, govtrack_id, 0, house_history_id, 0, icpsr_id, 0, last_name, 0, lis_id, 0, maplight_id, 0, middle_name, 0, nickname_name, 0, official_full_name, 0, opensecrets_id, 0, religion_bio, 0, suffix_name, 0, thomas_id, 0, votesmart_id, 0, wikidata_id, 0, wikipedia_id, 1, address, 1, bioguide, 1, caucus, 1, chamber, 1, class, 1, contact_form, 1, district, 1, end, 1, fax, 1, last, 1, name, 1, office, 1, party, 1, party_affiliations, 1, phone, 1, relation, 1, rss_url, 1, start, 1, state, 1, state_rank, 1, title, 1, type, 1, url, 2, ballotpedia_id, 2, bioguide_id, 2, bioguide_previous_id, 2, birthday_bio, 2, cspan_id, 2, fec_id, 2, first_name, 2, gender_bio, 2, google_entity_id_id, 2, govtrack_id, 2, house_history_alternate_id, 2, house_history_id, 2, icpsr_id, 2, last_name, 2, lis_id, 2, maplight_id, 2, middle_name, 2, nickname_name, 2, official_full_name, 2, opensecrets_id, 2, religion_bio, 2, suffix_name, 2, thomas_id, 2, votesmart_id, 2, wikidata_id, 2, wikipedia_id, 3, address, 3, bioguide, 3, chamber, 3, class, 3, contact_form, 3, district, 3, end, 3, fax, 3, last, 3, middle, 3, name, 3, office, 3, party, 3, party_affiliations, 3, phone, 3, relation, 3, rss_url, 3, start, 3, state, 3, state_rank, 3, title, 3, type, 3, url, 4, bioguide, 4, facebook, 4, facebook_id, 4, govtrack, 4, instagram, 4, instagram_id, 4, thomas, 4, twitter, 4, twitter_id, 4, youtube, 4, youtube_id
Question: Please list the official full names of all the current legislators who have served in the U.S. House.
Evidence: have served in the U.S. House refers to house_history_id is not null;
SQL: SELECT official_full_name FROM current WHERE house_history_id IS NOT NULL
Database: legislator
Tables: current, current-terms, historical, historical-terms, social-media
Columns (table index, column name): -1, *, 0, ballotpedia_id, 0, bioguide_id, 0, birthday_bio, 0, cspan_id, 0, fec_id, 0, first_name, 0, gender_bio, 0, google_entity_id_id, 0, govtrack_id, 0, house_history_id, 0, icpsr_id, 0, last_name, 0, lis_id, 0, maplight_id, 0, middle_name, 0, nickname_name, 0, official_full_name, 0, opensecrets_id, 0, religion_bio, 0, suffix_name, 0, thomas_id, 0, votesmart_id, 0, wikidata_id, 0, wikipedia_id, 1, address, 1, bioguide, 1, caucus, 1, chamber, 1, class, 1, contact_form, 1, district, 1, end, 1, fax, 1, last, 1, name, 1, office, 1, party, 1, party_affiliations, 1, phone, 1, relation, 1, rss_url, 1, start, 1, state, 1, state_rank, 1, title, 1, type, 1, url, 2, ballotpedia_id, 2, bioguide_id, 2, bioguide_previous_id, 2, birthday_bio, 2, cspan_id, 2, fec_id, 2, first_name, 2, gender_bio, 2, google_entity_id_id, 2, govtrack_id, 2, house_history_alternate_id, 2, house_history_id, 2, icpsr_id, 2, last_name, 2, lis_id, 2, maplight_id, 2, middle_name, 2, nickname_name, 2, official_full_name, 2, opensecrets_id, 2, religion_bio, 2, suffix_name, 2, thomas_id, 2, votesmart_id, 2, wikidata_id, 2, wikipedia_id, 3, address, 3, bioguide, 3, chamber, 3, class, 3, contact_form, 3, district, 3, end, 3, fax, 3, last, 3, middle, 3, name, 3, office, 3, party, 3, party_affiliations, 3, phone, 3, relation, 3, rss_url, 3, start, 3, state, 3, state_rank, 3, title, 3, type, 3, url, 4, bioguide, 4, facebook, 4, facebook_id, 4, govtrack, 4, instagram, 4, instagram_id, 4, thomas, 4, twitter, 4, twitter_id, 4, youtube, 4, youtube_id
Question: How many current legislators have both accounts on both VoteView.com and maplight.org?
Evidence: have both accounts on both VoteView.com and maplight.org refers to icpsr_id is not null AND maplight_id is not null;
SQL: SELECT COUNT(*) FROM current WHERE icpsr_id IS NOT NULL AND maplight_id IS NOT NULL
Database: legislator
Tables: current, current-terms, historical, historical-terms, social-media
Columns (table index, column name): -1, *, 0, ballotpedia_id, 0, bioguide_id, 0, birthday_bio, 0, cspan_id, 0, fec_id, 0, first_name, 0, gender_bio, 0, google_entity_id_id, 0, govtrack_id, 0, house_history_id, 0, icpsr_id, 0, last_name, 0, lis_id, 0, maplight_id, 0, middle_name, 0, nickname_name, 0, official_full_name, 0, opensecrets_id, 0, religion_bio, 0, suffix_name, 0, thomas_id, 0, votesmart_id, 0, wikidata_id, 0, wikipedia_id, 1, address, 1, bioguide, 1, caucus, 1, chamber, 1, class, 1, contact_form, 1, district, 1, end, 1, fax, 1, last, 1, name, 1, office, 1, party, 1, party_affiliations, 1, phone, 1, relation, 1, rss_url, 1, start, 1, state, 1, state_rank, 1, title, 1, type, 1, url, 2, ballotpedia_id, 2, bioguide_id, 2, bioguide_previous_id, 2, birthday_bio, 2, cspan_id, 2, fec_id, 2, first_name, 2, gender_bio, 2, google_entity_id_id, 2, govtrack_id, 2, house_history_alternate_id, 2, house_history_id, 2, icpsr_id, 2, last_name, 2, lis_id, 2, maplight_id, 2, middle_name, 2, nickname_name, 2, official_full_name, 2, opensecrets_id, 2, religion_bio, 2, suffix_name, 2, thomas_id, 2, votesmart_id, 2, wikidata_id, 2, wikipedia_id, 3, address, 3, bioguide, 3, chamber, 3, class, 3, contact_form, 3, district, 3, end, 3, fax, 3, last, 3, middle, 3, name, 3, office, 3, party, 3, party_affiliations, 3, phone, 3, relation, 3, rss_url, 3, start, 3, state, 3, state_rank, 3, title, 3, type, 3, url, 4, bioguide, 4, facebook, 4, facebook_id, 4, govtrack, 4, instagram, 4, instagram_id, 4, thomas, 4, twitter, 4, twitter_id, 4, youtube, 4, youtube_id
Question: Among all the current female legislators, how many of them have attended in Senate roll call votes?
Evidence: female refers to gender_bio = 'F'; have attended in Senate roll call votes refers to lis_id is not null;
SQL: SELECT COUNT(lis_id) FROM current WHERE gender_bio = 'F' AND lis_id IS NOT NULL
Database: legislator
Tables: current, current-terms, historical, historical-terms, social-media
Columns (table index, column name): -1, *, 0, ballotpedia_id, 0, bioguide_id, 0, birthday_bio, 0, cspan_id, 0, fec_id, 0, first_name, 0, gender_bio, 0, google_entity_id_id, 0, govtrack_id, 0, house_history_id, 0, icpsr_id, 0, last_name, 0, lis_id, 0, maplight_id, 0, middle_name, 0, nickname_name, 0, official_full_name, 0, opensecrets_id, 0, religion_bio, 0, suffix_name, 0, thomas_id, 0, votesmart_id, 0, wikidata_id, 0, wikipedia_id, 1, address, 1, bioguide, 1, caucus, 1, chamber, 1, class, 1, contact_form, 1, district, 1, end, 1, fax, 1, last, 1, name, 1, office, 1, party, 1, party_affiliations, 1, phone, 1, relation, 1, rss_url, 1, start, 1, state, 1, state_rank, 1, title, 1, type, 1, url, 2, ballotpedia_id, 2, bioguide_id, 2, bioguide_previous_id, 2, birthday_bio, 2, cspan_id, 2, fec_id, 2, first_name, 2, gender_bio, 2, google_entity_id_id, 2, govtrack_id, 2, house_history_alternate_id, 2, house_history_id, 2, icpsr_id, 2, last_name, 2, lis_id, 2, maplight_id, 2, middle_name, 2, nickname_name, 2, official_full_name, 2, opensecrets_id, 2, religion_bio, 2, suffix_name, 2, thomas_id, 2, votesmart_id, 2, wikidata_id, 2, wikipedia_id, 3, address, 3, bioguide, 3, chamber, 3, class, 3, contact_form, 3, district, 3, end, 3, fax, 3, last, 3, middle, 3, name, 3, office, 3, party, 3, party_affiliations, 3, phone, 3, relation, 3, rss_url, 3, start, 3, state, 3, state_rank, 3, title, 3, type, 3, url, 4, bioguide, 4, facebook, 4, facebook_id, 4, govtrack, 4, instagram, 4, instagram_id, 4, thomas, 4, twitter, 4, twitter_id, 4, youtube, 4, youtube_id
Question: What is the religion of current legislator Sherrod Brown?
Evidence: religion refers to religion_bio;
SQL: SELECT religion_bio FROM current WHERE official_full_name = 'Sherrod Brown'
Database: legislator
Tables: current, current-terms, historical, historical-terms, social-media
Columns (table index, column name): -1, *, 0, ballotpedia_id, 0, bioguide_id, 0, birthday_bio, 0, cspan_id, 0, fec_id, 0, first_name, 0, gender_bio, 0, google_entity_id_id, 0, govtrack_id, 0, house_history_id, 0, icpsr_id, 0, last_name, 0, lis_id, 0, maplight_id, 0, middle_name, 0, nickname_name, 0, official_full_name, 0, opensecrets_id, 0, religion_bio, 0, suffix_name, 0, thomas_id, 0, votesmart_id, 0, wikidata_id, 0, wikipedia_id, 1, address, 1, bioguide, 1, caucus, 1, chamber, 1, class, 1, contact_form, 1, district, 1, end, 1, fax, 1, last, 1, name, 1, office, 1, party, 1, party_affiliations, 1, phone, 1, relation, 1, rss_url, 1, start, 1, state, 1, state_rank, 1, title, 1, type, 1, url, 2, ballotpedia_id, 2, bioguide_id, 2, bioguide_previous_id, 2, birthday_bio, 2, cspan_id, 2, fec_id, 2, first_name, 2, gender_bio, 2, google_entity_id_id, 2, govtrack_id, 2, house_history_alternate_id, 2, house_history_id, 2, icpsr_id, 2, last_name, 2, lis_id, 2, maplight_id, 2, middle_name, 2, nickname_name, 2, official_full_name, 2, opensecrets_id, 2, religion_bio, 2, suffix_name, 2, thomas_id, 2, votesmart_id, 2, wikidata_id, 2, wikipedia_id, 3, address, 3, bioguide, 3, chamber, 3, class, 3, contact_form, 3, district, 3, end, 3, fax, 3, last, 3, middle, 3, name, 3, office, 3, party, 3, party_affiliations, 3, phone, 3, relation, 3, rss_url, 3, start, 3, state, 3, state_rank, 3, title, 3, type, 3, url, 4, bioguide, 4, facebook, 4, facebook_id, 4, govtrack, 4, instagram, 4, instagram_id, 4, thomas, 4, twitter, 4, twitter_id, 4, youtube, 4, youtube_id
Question: What is the religion with the most occurrrence of the current legislators?
Evidence: religion with the most occurrrence of the current legislators refers to MAX(count(religion_bio));
SQL: SELECT religion_bio FROM current GROUP BY religion_bio ORDER BY COUNT(religion_bio) DESC LIMIT 1
Database: legislator
Tables: current, current-terms, historical, historical-terms, social-media
Columns (table index, column name): -1, *, 0, ballotpedia_id, 0, bioguide_id, 0, birthday_bio, 0, cspan_id, 0, fec_id, 0, first_name, 0, gender_bio, 0, google_entity_id_id, 0, govtrack_id, 0, house_history_id, 0, icpsr_id, 0, last_name, 0, lis_id, 0, maplight_id, 0, middle_name, 0, nickname_name, 0, official_full_name, 0, opensecrets_id, 0, religion_bio, 0, suffix_name, 0, thomas_id, 0, votesmart_id, 0, wikidata_id, 0, wikipedia_id, 1, address, 1, bioguide, 1, caucus, 1, chamber, 1, class, 1, contact_form, 1, district, 1, end, 1, fax, 1, last, 1, name, 1, office, 1, party, 1, party_affiliations, 1, phone, 1, relation, 1, rss_url, 1, start, 1, state, 1, state_rank, 1, title, 1, type, 1, url, 2, ballotpedia_id, 2, bioguide_id, 2, bioguide_previous_id, 2, birthday_bio, 2, cspan_id, 2, fec_id, 2, first_name, 2, gender_bio, 2, google_entity_id_id, 2, govtrack_id, 2, house_history_alternate_id, 2, house_history_id, 2, icpsr_id, 2, last_name, 2, lis_id, 2, maplight_id, 2, middle_name, 2, nickname_name, 2, official_full_name, 2, opensecrets_id, 2, religion_bio, 2, suffix_name, 2, thomas_id, 2, votesmart_id, 2, wikidata_id, 2, wikipedia_id, 3, address, 3, bioguide, 3, chamber, 3, class, 3, contact_form, 3, district, 3, end, 3, fax, 3, last, 3, middle, 3, name, 3, office, 3, party, 3, party_affiliations, 3, phone, 3, relation, 3, rss_url, 3, start, 3, state, 3, state_rank, 3, title, 3, type, 3, url, 4, bioguide, 4, facebook, 4, facebook_id, 4, govtrack, 4, instagram, 4, instagram_id, 4, thomas, 4, twitter, 4, twitter_id, 4, youtube, 4, youtube_id
Question: What is the current official Instagram handle of current legislator Bob Corker?
Evidence: official Instagram handle refers to instagram;
SQL: 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'
Database: legislator
Tables: current, current-terms, historical, historical-terms, social-media
Columns (table index, column name): -1, *, 0, ballotpedia_id, 0, bioguide_id, 0, birthday_bio, 0, cspan_id, 0, fec_id, 0, first_name, 0, gender_bio, 0, google_entity_id_id, 0, govtrack_id, 0, house_history_id, 0, icpsr_id, 0, last_name, 0, lis_id, 0, maplight_id, 0, middle_name, 0, nickname_name, 0, official_full_name, 0, opensecrets_id, 0, religion_bio, 0, suffix_name, 0, thomas_id, 0, votesmart_id, 0, wikidata_id, 0, wikipedia_id, 1, address, 1, bioguide, 1, caucus, 1, chamber, 1, class, 1, contact_form, 1, district, 1, end, 1, fax, 1, last, 1, name, 1, office, 1, party, 1, party_affiliations, 1, phone, 1, relation, 1, rss_url, 1, start, 1, state, 1, state_rank, 1, title, 1, type, 1, url, 2, ballotpedia_id, 2, bioguide_id, 2, bioguide_previous_id, 2, birthday_bio, 2, cspan_id, 2, fec_id, 2, first_name, 2, gender_bio, 2, google_entity_id_id, 2, govtrack_id, 2, house_history_alternate_id, 2, house_history_id, 2, icpsr_id, 2, last_name, 2, lis_id, 2, maplight_id, 2, middle_name, 2, nickname_name, 2, official_full_name, 2, opensecrets_id, 2, religion_bio, 2, suffix_name, 2, thomas_id, 2, votesmart_id, 2, wikidata_id, 2, wikipedia_id, 3, address, 3, bioguide, 3, chamber, 3, class, 3, contact_form, 3, district, 3, end, 3, fax, 3, last, 3, middle, 3, name, 3, office, 3, party, 3, party_affiliations, 3, phone, 3, relation, 3, rss_url, 3, start, 3, state, 3, state_rank, 3, title, 3, type, 3, url, 4, bioguide, 4, facebook, 4, facebook_id, 4, govtrack, 4, instagram, 4, instagram_id, 4, thomas, 4, twitter, 4, twitter_id, 4, youtube, 4, youtube_id
Question: Among the current legislators who have accounts on both http://thomas.gov, how many of them have accounts on instagram?
Evidence: have accounts on both http://thomas.gov refers to thomas_id is NOT null; have accounts on instagram refers to instagram is not null;
SQL: 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
Database: legislator
Tables: current, current-terms, historical, historical-terms, social-media
Columns (table index, column name): -1, *, 0, ballotpedia_id, 0, bioguide_id, 0, birthday_bio, 0, cspan_id, 0, fec_id, 0, first_name, 0, gender_bio, 0, google_entity_id_id, 0, govtrack_id, 0, house_history_id, 0, icpsr_id, 0, last_name, 0, lis_id, 0, maplight_id, 0, middle_name, 0, nickname_name, 0, official_full_name, 0, opensecrets_id, 0, religion_bio, 0, suffix_name, 0, thomas_id, 0, votesmart_id, 0, wikidata_id, 0, wikipedia_id, 1, address, 1, bioguide, 1, caucus, 1, chamber, 1, class, 1, contact_form, 1, district, 1, end, 1, fax, 1, last, 1, name, 1, office, 1, party, 1, party_affiliations, 1, phone, 1, relation, 1, rss_url, 1, start, 1, state, 1, state_rank, 1, title, 1, type, 1, url, 2, ballotpedia_id, 2, bioguide_id, 2, bioguide_previous_id, 2, birthday_bio, 2, cspan_id, 2, fec_id, 2, first_name, 2, gender_bio, 2, google_entity_id_id, 2, govtrack_id, 2, house_history_alternate_id, 2, house_history_id, 2, icpsr_id, 2, last_name, 2, lis_id, 2, maplight_id, 2, middle_name, 2, nickname_name, 2, official_full_name, 2, opensecrets_id, 2, religion_bio, 2, suffix_name, 2, thomas_id, 2, votesmart_id, 2, wikidata_id, 2, wikipedia_id, 3, address, 3, bioguide, 3, chamber, 3, class, 3, contact_form, 3, district, 3, end, 3, fax, 3, last, 3, middle, 3, name, 3, office, 3, party, 3, party_affiliations, 3, phone, 3, relation, 3, rss_url, 3, start, 3, state, 3, state_rank, 3, title, 3, type, 3, url, 4, bioguide, 4, facebook, 4, facebook_id, 4, govtrack, 4, instagram, 4, instagram_id, 4, thomas, 4, twitter, 4, twitter_id, 4, youtube, 4, youtube_id
Question: Please list the username of the current official Facebook presence of all the current legislators that are famous or impact.
Evidence: username of the current official Facebook presence of the legislators refers to facebook; legislators that are famous or impact refers to wikipedia_id is not null;
SQL: 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