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: What is the name of the legislator with the ID of W000059?
Evidence: name of the legislator = first_name, last_name; ID of W000059 refers to bioguide_id = 'W000059';
SQL: SELECT first_name, last_name FROM historical WHERE bioguide_id = 'W000059'
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: Does Thomas Carnes have an account on ballotpedia.org?
Evidence: if first_name = 'Thomas' and last_name = 'Carnes' AND ballotpedia_id is null then Thomas Carnes doesn't have an account on ballotpedia.org; if first_name = 'Thomas' and last_name = 'Carnes' AND ballotpedia_id is NOT null then Thomas Carnes have an account on ballotpedia.org;
SQL: 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'
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 legislators were born in 1736?
Evidence: born in 1736 refers to birthday_bio like '1736%';
SQL: SELECT COUNT(bioguide_id) FROM historical WHERE birthday_bio LIKE '1736%'
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 legislators are woman?
Evidence: woman refers to gender_bio = 'F';
SQL: SELECT first_name, last_name FROM historical WHERE gender_bio = 'F'
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 districts are in Idaho?
Evidence: Idaho refers to state = 'ID';
SQL: SELECT COUNT(district) FROM `current-terms` WHERE state = '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: How many legislators are not senator?
Evidence: not senator refers to class is null;
SQL: SELECT COUNT(bioguide) FROM `current-terms` WHERE class 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: What is the ratio between male and female legislators?
Evidence: ratio = DIVIDE(SUM(gender_bio = 'M'),  SUM(gender_bio = 'F')); male refers to gender_bio = 'M'; female refers to gender_bio = 'F'
SQL: 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
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 famous_legislatorss.
Evidence: percentage = MULTIPLY(DIVIDE(SUM(wikipedia_id is not null), (bioguide_id)), 100.0); famous legislators refers to wikipedia_id is not null;
SQL: SELECT CAST(SUM(CASE WHEN wikipedia_id IS NOT NULL THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(bioguide_id) FROM historical
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 legislators do not have instagram account?
Evidence: do not have instagram account refers to instagram is null;
SQL: 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
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 all the representatives in 1789 along with the districts and state.
Evidence: representatives refers to type = 'rep'; in 1789 refers to start like '1789%';
SQL: 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%'
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: State all the district that Benjamin Contee has served before.
SQL: 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'
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: State the address of Amy Klobuchar at the term of 4th of January 2001.
Evidence: at the term of 4th of January 2001 refers to start = '2001-04-01';
SQL: 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'