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: Provide the full name of all current female legislators that chose Republican as their political party.
Evidence: full name refers to official_full_name; official_full_name refers to first_name, last_name; female refers to gender_bio = 'F'; chose Republican as their political party refers to party = 'Republican'; current legislators refers to END > Date()
SQL: SELECT T1.first_name, T1.last_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.party = 'Republican' AND T1.gender_bio = 'F' AND T2.END > DATE() GROUP BY T1.bioguide_id
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 district number that Chris Van Hollen serving?
Evidence: Chris Van Hollen is an official_full_name
SQL: SELECT T2.district FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.official_full_name = 'Chris Van Hollen' AND T2.district IS NOT NULL GROUP BY T2.district
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 times did Richard Durbin become a legislator in district 20?
Evidence: Richard Durbin is an official_full_name;  official_full_name refers to first_name, last_name; district 20 refers to district = 20
SQL: SELECT SUM(CASE WHEN T2.district = 20 THEN 1 ELSE 0 END) AS count FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.first_name = 'Richard' AND T1.last_name = 'Durbin'
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: Calculate the average number of current male legislators who chose Democrat from 2000 until 2021.
Evidence: male refers to gender_bio = 'M'; legislators who chose Democrat refers to party = 'Democrat'; from 2000 until 2021 refers to start > = 2000 AND END < = 2021; calculation = DIVIDE(COUNT(bioguide_id), 22)
SQL: SELECT CAST(COUNT(T1.bioguide_id) AS REAL) / 22 FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T1.gender_bio = 'M' AND CAST(T2.start AS DATE) >= 2000 AND CAST(T2.END AS DATE) <= 2021 AND T2.party = 'Democrat'
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: Calculate the percentage of the total number of current female legislators and past female legislators. State which one has the highest value.
Evidence: female refers to gender_bio = 'F'; calculation = MULTIPLY(DIVIDE(COUNT(current.gender_bio = 'F' THEN current.bioguide_id)), (COUNT(historical.gender_bio = 'F' then historical.bioguide_id)), 1.0); the highest value refers to MAX(calculation)
SQL: SELECT CAST(COUNT(CASE WHEN current.gender_bio = 'F' THEN current.bioguide_id ELSE NULL END) AS REAL) * 100 / ( SELECT COUNT(CASE WHEN historical.gender_bio = 'F' THEN historical.bioguide_id ELSE NULL END) FROM historical ) FROM current
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: Give the YouTube ID of the channel 'RepWassermanSchultz.'
Evidence: RepWassermanSchultz refers to youtube
SQL: SELECT youtube_id FROM `social-media` WHERE youtube = 'RepWassermanSchultz'
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 are the Facebook, Twitter and YouTube usernames of Adam Kinzinger?
Evidence: Facebook, Twitter and YouTube usernames refers to facebook, twitter, youtube; Adam Kinzinger is an official_full_name
SQL: SELECT T2.facebook FROM current AS T1 INNER JOIN `social-media` AS T2 ON T2.bioguide = T1.bioguide_id WHERE T1.official_full_name = 'Adam Kinzinger'
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: Which party does Christopher Henderson Clark belong to?
Evidence: Christopher Henderson Clark is full name; full name refers to first_name, middle_name, last_name
SQL: SELECT T1.party FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T2.first_name OR T2.middle_name OR T2.last_name = 'ChristopherHendersonClark'
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: List the official full names of 10 legislators who have a YouTube account but no Instagram account.
Evidence: have a YouTube account but no Instagram account refers to facebook is not null and (instagram is null or instagram = '')
SQL: SELECT T2.official_full_name FROM `social-media` AS T1 INNER JOIN current AS T2 ON T1.bioguide = T2.bioguide_id WHERE T1.facebook IS NOT NULL AND (T1.instagram IS NULL OR T1.instagram = '') LIMIT 10
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: Give the official full names of legislators representing Virginia.
Evidence: Virginia refers to state = 'VA'
SQL: SELECT T1.official_full_name FROM current AS T1 INNER JOIN `current-terms` AS T2 ON T1.bioguide_id = T2.bioguide WHERE T2.state = 'VA' GROUP BY T1.official_full_name
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: Which historical legislators are members of the National Greenbacker party? Write their first and last names.
Evidence: members of the National Greenbacker party refers to party = 'National Greenbacker'; first and last names refers to first_name, last_name
SQL: SELECT T2.first_name, T2.last_name FROM `historical-terms` AS T1 INNER JOIN historical AS T2 ON T2.bioguide_id = T1.bioguide WHERE T1.party = 'National Greenbacker'